Abstract:Abstract: The traditional process of making cendol is still carried out manually, especially during the stirring stage of the batter throughout the cooking process. Continuous stirring requires considerable effort and a…
relatively long time. In addition, inconsistent stirring speed can cause the batter to mix unevenly, thereby affecting the quality of the resulting cendol. Therefore, an automatic cendol stirring machine is needed to help improve production efficiency and produce a more homogeneous batter. This study aims to design and develop an Arduino Uno-based automatic cendol stirring machine capable of automating the cendol batter stirring process. The system uses an Arduino Uno as the main controller, a DC motor to drive the stirring mechanism, a temperature sensor to monitor the temperature during the cooking process, and an LCD as the information display. Testing was conducted to evaluate the system's performance in automatically stirring the batter and maintaining the stability of the cooking process. The test results show that the automatic cendol stirring machine performs well according to the design. The system is able to stir the batter continuously at a stable speed, ensuring the batter is mixed evenly while reducing the operator's workload. The use of the Arduino Uno as the control system also simplifies operation and improves the efficiency of the cendol production process.
Keywords: Arduino Uno, cendol, automatic stirring machine, DC motor, control system.
Abstrak: Proses pembuatan cendol secara tradisional masih dilakukan secara manual, terutama pada tahap pengadukan adonan selama proses pemasakan. Pengadukan yang dilakukan secara terus-menerus membutuhkan tenaga yang besar dan waktu yang cukup lama. Selain itu, ketidakstabilan kecepatan pengadukan dapat menyebabkan adonan tidak tercampur secara merata, sehingga memengaruhi kualitas cendol yang dihasilkan. Oleh karena itu, diperlukan suatu mesin pengaduk cendol otomatis yang dapat membantu meningkatkan efisiensi proses produksi dan menghasilkan adonan yang lebih homogen. Penelitian ini bertujuan untuk merancang dan membangun mesin pengaduk cendol otomatis berbasis Arduino Uno yang mampu mengotomatisasi proses pengadukan adonan cendol. Sistem menggunakan Arduino Uno sebagai pengendali utama, motor DC sebagai penggerak mekanisme pengaduk, sensor suhu untuk memantau temperatur selama proses pemasakan, serta LCD sebagai media tampilan informasi. Pengujian dilakukan untuk mengetahui kinerja sistem dalam mengaduk adonan secara otomatis dan menjaga kestabilan proses pemasakan. Hasil pengujian menunjukkan bahwa mesin pengaduk cendol otomatis dapat bekerja dengan baik sesuai dengan rancangan. Sistem mampu melakukan pengadukan secara kontinu dengan kecepatan yang stabil sehingga adonan tercampur secara merata dan mengurangi beban kerja operator. Penggunaan Arduino Uno sebagai sistem kendali juga memudahkan pengoperasian dan meningkatkan efisiensi proses produksi cendol.
Kata kunci: Arduino Uno, cendol, mesin pengaduk otomatis, motor DC, sistem kendali.
Abstract:Abstract: Public complaint management at the Silaen Sub-district Office, Toba Regency, has traditionally relied on conventional, in-person procedures that require citizens to visit the office directly to submit a complaint.…
nt. This limitation results in long waiting times, undocumented reports, and an absence of any tracking mechanism for residents. This study designs and implements a web-based public complaint platform, internally referred to as PARI-SILAEN, that is integrated with a WhatsApp Gateway service to overcome these limitations. The system was developed using the Rapid Application Development (RAD) method through four iterative stages: Requirements Planning, User Design, Construction, and Cutover, and was built with PHP Native, MySQL, Bootstrap 5, Chart.js, DataTables, and the FONNTE API as the WhatsApp notification service. Identity validation is layered across three mechanisms: automatic verification of the first six digits of the National Identity Number (NIK) against the official regional code of Silaen Sub-district (121203), mandatory selection of a registered home village from twenty-three villages, and manual verification by an Admin officer, while GPS coordinates are used only to record the incident location rather than to validate residency. The system manages six complaint statuses, namely New, Verified, In Process, Completed, Rejected, and Escalated, each of which triggers an automatic WhatsApp notification through eight predefined message triggers. System functionality was evaluated using Black-Box Testing across fifteen scenarios covering public, administrator, and executive access, all of which were declared valid, while User Acceptance Testing (UAT) involving Likert-scale questionnaires recorded a feasibility score of 91.50% from the citizen group and 93.33% from the internal apparatus group, both falling into the “Very Effective” category. These findings indicate that the integration of a structured web-based complaint workflow with automated WhatsApp notifications meaningfully improves the transparency, responsiveness, and administrative accountability of public services at the sub-district level.
Keywords: public complaint platform; WhatsApp Gateway; e-government; Rapid Application Development; NIK identity validation
Abstrak: Pengelolaan pengaduan masyarakat di Kantor Camat Silaen, Kabupaten Toba, selama ini masih berjalan secara konvensional sehingga mengharuskan warga datang langsung ke kantor untuk menyampaikan keluhan. Kondisi ini menimbulkan waktu tunggu yang lama, pengaduan yang tidak terdokumentasi, serta tidak adanya mekanisme pelacakan bagi warga. Penelitian ini merancang dan mengimplementasikan sebuah platform pengaduan masyarakat berbasis web, yang secara internal disebut PARI-SILAEN, yang diintegrasikan dengan layanan WhatsApp Gateway untuk mengatasi keterbatasan tersebut. Sistem dikembangkan menggunakan metode Rapid Application Development (RAD) melalui empat tahapan iteratif, yaitu Requirements Planning, User Design, Construction, dan Cutover, serta dibangun dengan PHP Native, MySQL, Bootstrap 5, Chart.js, DataTables, dan FONNTE API sebagai layanan notifikasi WhatsApp. Validasi identitas dirancang secara berlapis melalui tiga mekanisme, yaitu pemeriksaan otomatis terhadap enam digit pertama Nomor Induk Kependudukan (NIK) yang dicocokkan dengan kode wilayah resmi Kecamatan Silaen (121203), kewajiban memilih desa domisili dari dua puluh tiga desa terdaftar, serta verifikasi manual oleh Admin, sementara koordinat GPS hanya digunakan untuk mencatat lokasi kejadian dan bukan sebagai alat validasi domisili. Sistem mengelola enam status aduan, yaitu Baru, Diverifikasi, Diproses, Selesai, Ditolak, dan Eskalasi, yang masing-masing memicu notifikasi WhatsApp otomatis melalui delapan jenis pemicu pesan yang telah ditetapkan. Pengujian fungsionalitas sistem dilakukan melalui Black-Box Testing terhadap lima belas skenario yang mencakup akses publik, administrator, dan eksekutif, dengan seluruh skenario dinyatakan valid, sementara User Acceptance Testing (UAT) menggunakan kuesioner skala Likert mencatat skor kelayakan sebesar 87.60% dari kelompok masyarakat dan 87.00% dari kelompok aparatur internal, yang keduanya berada pada kategori “Sangat Efektif”. Temuan ini menunjukkan bahwa integrasi alur kerja pengaduan berbasis web yang terstruktur dengan notifikasi WhatsApp otomatis secara nyata meningkatkan transparansi, responsivitas, dan akuntabilitas administrasi pelayanan publik di tingkat kecamatan.
Kata kunci: platform pengaduan masyarakat; WhatsApp Gateway; e-government; Rapid Application Development; validasi identitas NIK
Abstract:Abstract: Micro, Small, and Medium Enterprises (MSMEs) play an essential role in Indonesia's economy; however, many still face challenges in financial management due to manual bookkeeping systems. This study aims to analyze…
yze the financial performance of MSME Ramekan Aja before and after implementing the Kledo digital accounting application. The research employed a qualitative approach using a case study design. Data were collected through observations, interviews, and documentation involving the MSME owner. The findings indicate that prior to using Kledo, financial records were maintained manually, resulting in recording errors, delays in financial reporting, difficulties in monitoring cash flow, and limited financial information for business decision-making. After implementing Kledo, the financial recording process became more systematic, integrated, and accurate. The application automatically generated financial statements, including income statements, balance sheets, and cash flow reports, while also facilitating inventory, accounts receivable, and accounts payable management. Furthermore, the real-time financial dashboard enabled business owners to monitor financial conditions more effectively and make data-driven decisions. Overall, the implementation of Kledo improved administrative efficiency, reduced human error, enhanced the quality of financial reports, and supported better business performance. Therefore, digital accounting applications such as Kledo can serve as an effective solution for improving financial management and supporting the sustainability and competitiveness of MSMEs in the digital era.
Keywords: Financial Performance, Digital Accounting Applications, Financial Efficiency, Business Decisions, Financial Reports.
Abstrak: Usaha Mikro, Kecil, dan Menengah (UMKM) memiliki peran penting dalam perekonomian Indonesia, namun masih banyak yang menghadapi kendala dalam pengelolaan keuangan akibat penggunaan sistem pencatatan manual. Penelitian ini bertujuan untuk menganalisis kinerja keuangan UMKM Ramekan Aja sebelum dan sesudah menggunakan aplikasi akuntansi digital Kledo. Penelitian menggunakan pendekatan kualitatif dengan desain studi kasus. Pengumpulan data dilakukan melalui observasi, wawancara, dan dokumentasi terhadap pemilik UMKM. Hasil penelitian menunjukkan bahwa sebelum menggunakan Kledo, pencatatan keuangan dilakukan secara manual sehingga sering terjadi kesalahan pencatatan, keterlambatan penyusunan laporan keuangan, kesulitan memantau arus kas, serta terbatasnya informasi keuangan sebagai dasar pengambilan keputusan. Setelah menggunakan aplikasi Kledo, proses pencatatan transaksi menjadi lebih sistematis, terintegrasi, dan akurat. Aplikasi mampu menghasilkan laporan keuangan secara otomatis, meliputi laporan laba rugi, neraca, dan arus kas, serta memudahkan pengelolaan persediaan, piutang, dan utang. Selain itu, dashboard keuangan yang tersedia memberikan informasi keuangan secara real-time sehingga membantu pemilik usaha dalam memantau kondisi usaha dan mengambil keputusan bisnis yang lebih tepat. Secara keseluruhan, penggunaan aplikasi Kledo meningkatkan efisiensi administrasi keuangan, mengurangi risiko kesalahan pencatatan (human error), meningkatkan kualitas laporan keuangan, serta mendukung peningkatan kinerja keuangan UMKM. Dengan demikian, penerapan aplikasi akuntansi digital Kledo menjadi salah satu solusi yang efektif dalam mendukung transformasi digital, meningkatkan daya saing, dan menjaga keberlanjutan usaha UMKM.
Kata kunci: Kinerja Keuangan, Aplikasi Akuntansi Digital, Efisiensi Keuangan, Keputusan Bisnis, dan Laporan Keuangan.
Abstract:Equitable distribution of public facilities and infrastructure is a crucial challenge in regional governance in Aek Kuasan District, Asahan Regency. Currently, data inventories of educational, health, and religious facilities…
ities are still managed conventionally in tabular format or as a recapitulation of physical documents. This method makes it difficult for sub-district governments and stakeholders to identify spatial distribution patterns of facilities, often resulting in disparities in accessibility between villages, such as significant differences in facility density between densely populated residential areas and plantations. This study aims to design a web-based Geographic Information System (GIS) capable of automatically visualizing and analyzing public facility clustering. The method used is the K-Means Clustering algorithm with Euclidean distance measurement to partition the region into several clusters based on proximity of location coordinates. The frontend is built using React.js and the Leaflet map library for interactive visualization, while the backend uses Node.js to handle all the algorithm's computational logic, including distance calculations and centroid determination. Data storage is performed using a PostgreSQL relational database that stores location attributes in double-precision numeric format to ensure coordinate accuracy without relying on the database's spatial extensions. System testing results indicate that the application is capable of precisely mapping the locations of infrastructure facilities in seven villages/sub-districts in Aek Kuasan District. The implementation of the K-Means algorithm successfully classified areas into dense and sparse cluster zones, visualized through differences in marker colors on the digital map. This analytical information is expected to provide an empirical basis for the Aek Kuasan District Government in making more equitable and targeted development planning decisions.
Abstract:Abstract: This study examines Indonesia's layered economic diplomacy strategy in maintaining its sovereign nickel downstreaming policy following the adverse World Trade Organization (WTO) DS592 ruling. Utilizing a qualitative…
ative approach with a descriptive-analytical design, this research evaluates the pivotal timeline of 2022–2026 to capture post-dispute dynamics, institutional adaptations, and domestic governance digitalizations. Data were gathered through documentary research from official WTO dispute archives, ministerial performance reports, and credible macroeconomic publications. The findings demonstrate that Indonesia successfully protected its industrial policy space from external interventions by synergizing three diplomatic pillars: leveraging multilateral institutional paralysis through tactical legal maneuvers ("appealing into the void"), isolating bilateral trade frictions within the IEU-CEPA negotiations alongside the establishment of an Ad Hoc Joint Task Force, and aggressively locking in physical foreign direct investment for high-value smelter ecosystems from East Asian partners. Furthermore, this policy space was domestically institutionalized through the integration of the SIMBARA digital governance system to optimize state revenue and resource transparency. In conclusion, this empirical phenomenon challenges liberal institutionalism’s core assumption of automatic compliance by proving that a Global South middle power can effectively counter multilateral regulatory pressures and shift from a traditional raw material supplier to a sovereign industrialized nation by utilizing critical mineral leverage.
Keywords: Critical Minerals, Economic Diplomacy, WTO Dispute, Resource Nationalism, Policy Space
Abstrak: Penelitian ini mengkaji strategi diplomasi ekonomi berlapis Indonesia dalam mempertahankan kebijakan kedaulatan hilirisasi nikel pasca putusan sengketa Organisasi Perdagangan Dunia (World Trade Organization/WTO) DS592 yang merugikan Indonesia. Penelitian ini menggunakan pendekatan kualitatif dengan desain deskriptif-analitis untuk menganalisis periode krusial 2022–2026 guna menangkap dinamika pascasengketa, adaptasi kelembagaan, dan digitalisasi tata kelola domestik. Data diperoleh melalui studi dokumentasi yang bersumber dari arsip resmi sengketa WTO, laporan kinerja kementerian, serta berbagai publikasi makroekonomi yang kredibel. Hasil penelitian menunjukkan bahwa Indonesia berhasil mempertahankan ruang kebijakan (policy space) industri nasional dari intervensi eksternal melalui sinergi tiga pilar diplomasi, yaitu pemanfaatan kelumpuhan institusional WTO melalui manuver hukum taktis berupa appealing into the void, isolasi friksi perdagangan bilateral melalui perundingan Indonesia-European Union Comprehensive Economic Partnership Agreement (IEU-CEPA) dan pembentukan Ad Hoc Joint Task Force, serta penguncian investasi asing langsung (foreign direct investment/FDI) secara agresif untuk pengembangan ekosistem smelter bernilai tambah tinggi dari mitra Asia Timur. Lebih lanjut, ruang kebijakan tersebut diinstitusionalisasikan secara domestik melalui integrasi sistem tata kelola digital SIMBARA guna mengoptimalkan penerimaan negara dan meningkatkan transparansi pengelolaan sumber daya. Kesimpulannya, fenomena empiris ini menantang asumsi utama neoliberalisme institusional mengenai kepatuhan otomatis terhadap rezim internasional dengan menunjukkan bahwa kekuatan menengah dari Global South mampu secara efektif menghadapi tekanan regulasi multilateral dan bertransformasi dari pemasok bahan mentah tradisional menjadi negara industri yang berdaulat melalui pemanfaatan daya ungkit mineral kritis.
Kata kunci: Mineral Kritis, Diplomasi Ekonomi, Sengketa WTO, Nasionalisme Sumber Daya, Ruang Kebijakan.
Abstract:Abstract: This study aims to design and build a web-based employee smoking break monitoring system at PT Foodex Inti Ingredients to help monitor break periods more effectively. The research method used is the Waterfall method,…
ethod, which includes the stages of requirements analysis, system design, implementation, and testing. This system was developed using PHP, MySQL, JavaScript, AJAX, and Text-to-Speech (TTS) to display data in real time and provide automatic voice notifications when the break is over. The implementation results show that this system is able to monitor smoking break activities in real time without having to reload the page, record user activities into the database, and provide responsive voice alerts according to the set time limit. Based on the test results, all system functions work according to user needs. The conclusion of this study is that the developed system can help companies improve discipline during smoking breaks, support operational efficiency, and create a more organized and productive work environment.
Keywords: Ajax; Auto Notification; Text-to-speech; Smoke Break Time, Web Real-time.
Abstrak: Penelitian ini bertujuan untuk merancang dan membangun sistem monitoring aktivitas rehat merokok karyawan berbasis web di PT Foodex Inti Ingredients guna membantu pengawasan durasi rehat secara lebih efektif. Metode penelitian yang digunakan adalah metode Waterfall yang meliputi tahap analisis kebutuhan, perancangan sistem, implementasi, dan pengujian. Sistem dikembangkan menggunakan PHP, MySQL, JavaScript, AJAX, dan Text-to-Speech (TTS) untuk menampilkan data secara real-time serta memberikan notifikasi suara otomatis ketika waktu rehat berakhir. Hasil implementasi menunjukkan bahwa sistem mampu memantau aktivitas rehat merokok secara real-time tanpa perlu memuat ulang halaman, mencatat aktivitas pengguna ke dalam basis data, dan memberikan peringatan suara secara responsif sesuai batas waktu yang ditentukan. Berdasarkan hasil pengujian, seluruh fungsi sistem berjalan sesuai kebutuhan pengguna. Kesimpulan penelitian ini adalah sistem yang dibangun dapat membantu perusahaan dalam meningkatkan disiplin waktu rehat merokok, mendukung efisiensi operasional, serta menciptakan lingkungan kerja yang lebih tertib dan produktif.
Kata kunci: Ajax; Notifikasi Otomatis; Text-to-speech; Waktu Rehat Merokok, Web real-time.
Abstract:Oil palm is one of the plantation commodities that plays an important role in improving Indonesia's economy. PT Socfindo Kebun Aek Loba has a large amount of oil palm plant condition data; however, the data has not been…
optimally utilized to determine fertilizer dosage requirements. This study aims to classify oil palm fertilizer dosage requirements based on plant conditions using the K-Means algorithm and to design an application that supports the clustering process. The variables used in this study include plant age, tree height, number of fruit bunches, and number of fronds. The dataset consisted of 200 oil palm plant records. The clustering process was carried out by forming three clusters, namely low, medium, and high fertilizer dosage groups, using the K-Means method with Euclidean Distance calculations. The results showed that out of 200 plant data records processed, 92 data (46%) were classified into the low fertilizer dosage cluster, 54 data (27%) into the medium fertilizer dosage cluster, and 54 data (27%) into the high fertilizer dosage cluster. In addition, this study successfully developed an application using PHP and MySQL that is capable of managing data, performing clustering automatically, and presenting clustering results in the form of tables and charts. The developed application can assist PT Socfindo Kebun Aek Loba in obtaining information regarding fertilizer dosage requirements more quickly, effectively, and systematically, thereby supporting decision-making related to oil palm fertilization.
Abstract:Extreme weather in coastal areas such as Kota Padang is influenced by complex topography and local atmospheric dynamics, making daily rainfall prediction a critical challenge for disaster mitigation and sectoral planning.…
. This study aims to develop a daily rainfall prediction model using a Deep Neural Network (DNN) and evaluate its performance. The dataset consists of daily temperature, humidity, and air pressure data collected from the Automatic Weather Station (AWS) of BMKG Maritime Teluk Bayur from January 2020 to December 2024, comprising 1,823 samples after preprocessing. The research methodology follows the CRISP-DM framework, which includes six main phases. The proposed DNN architecture contains three hidden layers (128, 64, and 32 neurons) with ReLU activation and dropout regularization, enhanced by lag and rolling average features to capture temporal patterns. The model achieved an MAE of 1.79, RMSE of 17.31, and R² of 0.8972, indicating strong predictive performance. The model was deployed through a Streamlit-based interactive dashboard
Abstract:Abstract: Oil palm leaf diseases can significantly reduce harvest productivity. Manual identification is considered less effective because it requires a long time and carries the risk of misidentification. This study develops…
elops a leaf image detection system using a CNN with the MobileNetV2 architecture, implemented on both web and mobile platforms. A dataset of 1,200 images from Kaggle and field observations covers four classes: leaf spot, anthracnose, yellow stripe, and Other. The research stages include data collection, image preprocessing, dataset splitting, CNN model training using the MobileNetV2 architecture, model testing, performance evaluation, and system implementation on web and mobile platforms. Evaluation was conducted using confusion matrix, accuracy, precision, recall, and F1-score parameters. Based on testing results, the model achieved 93.33% accuracy, 93.71% precision, 92.92% recall, and 93.31% F1-score. The developed system was successfully implemented on web and mobile platforms with features such as image upload, automatic classification, detection history, and disease management recommendations. With this system, users are expected to perform early detection of oil palm leaf diseases more quickly, practically, and accurately.
Keywords: CNN, Deep Learning, Image Classification, MobileNetV2, Oil Palm Leaf Disease.
Abstrak: Penyakit daun kelapa sawit dapat menurunkan produktivitas panen secara signifikan. Identifikasi manual dinilai kurang efektif karena membutuhkan waktu lama dan berpotensi salah identifikasi. Penelitian ini membangun sistem deteksi citra daun menggunakan CNN arsitektur MobileNetV2 berbasis web dan mobile. Dataset 1.200 citra dari Kaggle dan observasi lapangan mencakup empat kelas: bercak daun, antraknosa, garis kuning, dan Other. Tahapan penelitian meliputi pengumpulan data, preprocessing citra, pembagian dataset, pelatihan model CNN menggunakan arsitektur MobileNetV2, pengujian model, evaluasi performa, serta implementasi sistem berbasis web dan mobile. Proses evaluasi dilakukan menggunakan parameter confusion matrix, accuracy, precision, recall, dan F1-score. Berdasarkan hasil pengujian, model memperoleh akurasi 93,33%, precision 93,71%, recall 92,92%, dan F1-score 93,31%. Sistem yang dibangun berhasil diimplementasikan pada platform web dan mobile dengan fitur unggah citra, proses klasifikasi otomatis, riwayat deteksi, serta rekomendasi penanganan penyakit. Dengan adanya sistem ini, pengguna diharapkan dapat melakukan deteksi dini penyakit daun kelapa sawit secara lebih cepat, praktis, dan akurat.
Kata Kunci: CNN, Deep Learning, Klasifikasi Citra, MobileNetV2, Penyakit Daun Sawit.
Abstract:The mental health of final year students is an important aspect in the world of higher education, especially in facing the demands of completing a thesis at the Faculty of Engineering, Asahan University. However, until now…
ow there is no system that can help assess students' mental health levels in a structured and automatic manner. Therefore, this research aims to design and build an expert system application using the Sugeno Fuzzy Inference System (FIS) method based on PHP and MySQL to assess the mental health level of final year students. The data used in this research was obtained through distributing questionnaires to final year students at the Faculty of Engineering, Asahan University. The variables used include stress intensity, sleep quality, academic load, and social interaction. The data obtained was 99 final year student respondents. The data processing was carried out using the FIS Sugeno method by forming fuzzy sets, membership functions, and 81 fuzzy rules to produce students' mental health levels. Based on the results of system testing, the FIS Sugeno method was successfully applied to automatically assess students' mental health levels. The system is capable of carrying out data input processes, fuzzification, fuzzy inference, and producing assessment output quickly and in a structured manner. The benefit of this research is that it helps provide an initial picture of the mental health conditions of final year students so that it can be taken into consideration in efforts to treat and assist students.