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Showing 205 articles found for "Accurate"

Design Of A Decision Support System For Prioritizing Village Infrastructure Development Using The SAW Method

Daud Brilian Simanjuntak, Edward Rajagukuguk, Surianto Sitepu
Abstract: Village infrastructure development planning often faces challenges in determining priorities due to limited budget allocations and assessment mechanisms that still tend to be subjective. This study aims to build an objective,… tive, transparent, and measurable Decision Support System (DSS) to determine the priority order of infrastructure development proposals in Asam Jawa Village, Torgamba District. The applied solution integrates the Rank Order Centroid (ROC) method to calculate criteria weighting based on relative importance, and the Simple Additive Weighting (SAW) method to process the alternative ranking calculation. The evaluation was conducted on 23 physical infrastructure proposals using four main criteria: urgency level (C1), physical condition (C2), benefits (C3), and population size (C4). The results indicate that alternative A4 (Construction of Borehole Well and Public Toilet at Field) and alternative A18 (Sejahtera Street Concrete Cast) achieved the highest preference score of 1.000000, followed by other infrastructure proposals in a structured manner. The combined use of ROC and SAW methods is proven to be effective and consistent in generating accurate rural development priority rankings. The integration of these two methods facilitates village government officials in making accountable decisions while minimizing cognitive bias risks in optimizing development budget allocation.

Rancang Bangun Sistem Informasi Surat Tugas (SITUGAS) Berbasis Web Pada Kantor Wilayah Badan Pertanahan Provinsi Jambi

Ahmad Nasukha, Figo Pratama Melko, Deliya, Hayatun Nufus, Meliza Pitri, Zalma Nabilla Putri
Abstract: Kantor Wilayah Badan Pertanahan Nasional (BPN) Provinsi Jambi masih melakukan pengelolaan surat tugas dan monitoring tugas pegawai secara manual sehingga menghambat pengelolaan data, pemantauan progres pekerjaan, dan penyampaian… yampaian informasi. Penelitian ini bertujuan merancang dan membangun Sistem Informasi Surat Tugas (SITUGAS) berbasis web untuk meningkatkan efektivitas dan efisiensi pengelolaan surat tugas. Pengumpulan data dilakukan melalui observasi, wawancara, dokumentasi, dan studi literatur. Pengembangan sistem menggunakan metode Prototype, sedangkan pengujian dilakukan dengan Black Box Testing menggunakan teknik Equivalence Partitioning (EP). Sistem dikembangkan menggunakan PHP dan MySQL. Hasil penelitian menunjukkan bahwa SITUGAS mampu mempermudah pengelolaan data surat tugas, monitoring pekerjaan, pencarian data, dan penyajian informasi secara lebih cepat, akurat, efektif, dan terintegrasi. Hasil pengujian juga menunjukkan bahwa seluruh fungsi utama sistem berjalan sesuai dengan kebutuhan pengguna. The Regional Office of the National Land Agency (BPN) of Jambi Province still manages task assignments manually, making it difficult to manage data, monitor work progress, and deliver information. This study aims to design and develop a web-based Task Assignment Information System (SITUGAS) to improve the effectiveness and efficiency of task assignment management. Data were collected through observation, interviews, documentation, and literature studies. The system was developed using the Prototype method and tested using Black Box Testing with the Equivalence Partitioning (EP) technique. The application was developed using PHP and MySQL. The results show that SITUGAS facilitates task assignment management, work monitoring, data retrieval, and information delivery in a faster, more accurate, effective, and integrated manner. The testing results also indicate that all main system functions operate according to user requirements.

Penerapan Metode MOORA Pada Sistem Pendukung Keputusan Pemilihan Ketua Badan Eksekutif Mahasiswa

Lidya Rizki Ananda, Julianto Simatupang, Rio Bayu Sentosa, Nadia Astri Wulandari, Tika Christy
Abstract: Pemilihan Ketua Badan Eksekutif Mahasiswa (BEM) merupakan proses penting dalam menentukan mahasiswa yang memiliki kompetensi terbaik untuk memimpin organisasi kemahasiswaan. Namun, proses seleksi yang masih bergantung pada… da popularitas dan penilaian subjektif berpotensi menghasilkan keputusan yang kurang optimal. Penelitian ini bertujuan membangun Sistem Pendukung Keputusan (SPK) menggunakan metode Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) untuk membantu proses pemilihan Ketua BEM secara objektif. Data penelitian diperoleh melalui wawancara dengan pembina BEM untuk menentukan kriteria dan bobot penilaian. Lima kriteria yang digunakan meliputi kepemimpinan, kemampuan komunikasi, pengalaman organisasi, integritas, dan indeks prestasi kumulatif (IPK). Tahapan metode MOORA terdiri atas penyusunan matriks keputusan, normalisasi, perhitungan nilai optimasi, dan proses perangkingan. Hasil penelitian menunjukkan bahwa alternatif K1 memperoleh nilai optimasi tertinggi sebesar 0,473 sehingga direkomendasikan sebagai Ketua BEM terpilih. Penerapan metode MOORA mampu menghasilkan proses pengambilan keputusan yang lebih objektif, sistematis, transparan, dan akurat sehingga dapat dijadikan sebagai alat bantu dalam menentukan Ketua BEM berdasarkan kriteria yang telah ditetapkan. The selection of the Student Executive Board (BEM) President is an important process in determining the most qualified student to lead the student organization. However, conventional selection processes often rely on popularity and subjective judgments, which may lead to less optimal decisions. This study aims to develop a Decision Support System (DSS) using the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) method to support a more objective selection process. Research data were collected through interviews with BEM advisors to determine the assessment criteria and their corresponding weights. Five criteria were used, namely leadership, communication skills, organizational experience, integrity, and grade point average (GPA). The MOORA method consists of decision matrix construction, normalization, optimization value calculation, and ranking. The results indicate that candidate K1 achieved the highest optimization value of 0.473 and was therefore recommended as the selected BEM President. The implementation of the MOORA method provides a more objective, systematic, transparent, and accurate decision-making process, making it an effective tool for supporting the selection of the most suitable BEM President based on predetermined criteria.

Integration of Expected Spoilage Cost in Calculating the Cost of Goods Sold in Perishable Culinary MSMEs: A Case Study of Kang Dani's Siomay Sales in Mojokerto

Isti, Nayola, Syihabul, Alfan, Abyan, Cipta, Mirza, Nuril, Dinary, Michiko, Aulia, Darlin
Abstract: Culinary MSMEs with perishable products face challenges in managing production costs due to the presence of unsold products, which are often not included in determining the Cost of Goods Sold (COGS). This study aims to analyze… nalyze the application of the full costing method by integrating Expected Spoilage Cost into the COGS calculation at Siomay Kang Dani MSME and evaluate its impact on business profitability. The study used a descriptive quantitative approach with a single case study method. Data were obtained through interviews, direct observation, and documentation related to production costs and the number of unsold products. The results show that the conventional COGS of Rp7,665 per portion increased to Rp8,975 per portion after incorporating the Expected Spoilage Cost of Rp591,240 per month. The integration of spoilage costs results in a more realistic cost calculation because it considers losses due to leftover products. A sensitivity analysis also shows that increasing spoilage levels leads to an increase in COGS and a decrease in profit margins. This study suggests that the application of a modified COGS can help MSMEs set selling prices and manage profitability more accurately

Data Driven Marketing in Real Estate: Forecasting House Prices and Uncovering Influential Factors

Prabadianti, Intania, Samidi
Abstract: In recent years, the housing market has faced significant challenges, including fluctuating prices and declining sales. To solve this issue, there was an increasing need for more sophisticated methods to predict housing… prices accurately. This study aimed to provide real estate marketers with a tool to enhance their pricing tactics and mitigate the decline in home sales by predicting house prices using machine learning techniques. Several parameters were considered in this study, such as location, number of bedrooms, number of bathrooms, land area, building area, and number of carports. Linear regression and neural network methods were used to develop predictive models. The findings showed that the neural network method was more accurate than linear regression, which made it a better tool for real estate pricing strategies, with land area and number of carports being the most influential aspects in house price prediction.

Rancang Bangun Sistem Informasi Manajemen Surat Masuk Dan Surat Keluar Berbasis Web Menggunakan Framework Laravel Pada Bagian Tata Usaha Dan Kepegawaian Sekretariat DPRD Provinsi Jambi

Mhd. Theo Ari Bangsa, Isti Kartika Baiduri, Emeliyah, Jihan Amalia Az-zahra, Salsa Nur Fitria, Ahmad Fikri Gunawan, Daniel Kurniawan
Abstract: Sekretariat DPRD Provinsi Jambi masih menggunakan sistem manual dalam pengelolaan surat masuk dan surat keluar sehingga proses pencatatan, pencarian, dan penyusunan laporan kurang efisien. Penelitian ini bertujuan merancang… ang Sistem Informasi Manajemen Surat Berbasis Web menggunakan metode pengembangan Waterfall. Perancangan sistem dilakukan menggunakan Unified Modeling Language (UML), sedangkan implementasi sistem menggunakan Framework Laravel. Hasil penelitian menunjukkan bahwa sistem yang dirancang mampu mendukung pengelolaan surat masuk dan keluar, pengarsipan dokumen, pencarian data, serta penyajian laporan secara lebih cepat, efektif, dan akurat. The Secretariat of DPRD Jambi Province still uses a manual system for managing incoming and outgoing mail, resulting in inefficient recording, retrieval, and reporting processes. This study aims to design a web-based mail management information system using the Waterfall software development method. The system was designed using Unified Modeling Language (UML) and implemented using the Laravel Framework. System design employed Unified Modeling Language (UML), while implementation was carried out using the Laravel Framework. The results show that the proposed system supports mail management, document archiving, data retrieval, and report generation more quickly, effectively, and accurately.

Sistem Penghitungan Jumlah Kendaraan Pada Area Parkir Menggunakan Background Subtraction Dan OpenCV

Nando Juliansyah, Wendi Saputra, Febri Dristyan
Abstract: Masalah pengelolaan parkir di Politeknik Jambi sering menyebabkan ketidakefisienan akibat sistem penghitungan manual yang rentan human error. Penelitian ini bertujuan merancang sistem penghitungan kendaraan otomatis berbasis… asis pengolahan citra digital. Metode yang digunakan adalah Background Subtraction dengan algoritma MOG2 dan OpenCV menggunakan video kamera smartphone. Sistem mengintegrasikan proses preprocessing citra, operasi morfologi, dan Euclidean Distance Tracker untuk melacak serta menghitung kendaraan secara real-time. Hasil penelitian menunjukkan sistem mampu membedakan kendaraan yang bergerak dengan objek statis secara akurat melalui Virtual Counting Line. Dengan beban komputasi yang ringan dan biaya rendah, sistem ini efektif menjadi solusi otomatisasi manajemen parkir di lingkungan kampus. Parking management issues at Politeknik Jambi often lead to inefficiencies due to manual counting systems prone to human error. This study aims to design an automatic vehicle counting system based on digital image processing. The method utilizes Background Subtraction with the MOG2 algorithm and OpenCV using smartphone video input. The system integrates image preprocessing, morphological operations, and Euclidean Distance Tracker to track and count vehicles in real-time. The results demonstrate that the system can accurately distinguish between moving vehicles and static objects via a Virtual Counting Line. With low computational requirements and cost-effectiveness, this system offers an efficient automation solution for campus parking management.

Penerapan Data Mining Dalam Estimasi Harga Emas Menggunakan Algoritma Trend Moment Pada PT Victoeria Vici

Erika Fahmi Ginting, Husna Gemasih, Suci Andriyani, Mutiara S. Simanjuntak, Chindi Dwi Lestari Nainggolan
Abstract: Emas merupakan salah satu jenis komoditi yang paling banyak diminati untuk tujuan investasi, karena dipandang sebagai instrumen yang lebih aman dibandingkan saham serta memiliki nilai jual yang selalu bergerak mengikuti… kondisi pasar. PT Victoeria Vici, sebagai pelaku usaha perhiasan emas custom, menghadapi kendala dalam menentukan estimasi harga jual kepada pelanggan, sebab proses pengerjaan pesanan custom membutuhkan waktu hingga 14 hari, sementara harga emas bergerak fluktuatif dan tidak terstruktur setiap harinya sehingga estimasi harga menjadi tidak akurat dan tidak efektif. Berdasarkan permasalahan tersebut, penelitian ini menerapkan konsep Data Mining dengan algoritma Trend Moment untuk mengestimasi harga emas pada rentang waktu tertentu. Data yang digunakan merupakan data historis harga emas per gram pada PT Victoeria Vici periode Agustus–Oktober 2021 sebanyak 92 data. Tahapan penelitian meliputi pengumpulan data, penentuan variabel X dan Y, eliminasi untuk memperoleh nilai konstanta a dan slope b, serta penerapan persamaan Y = a + bX untuk memperoleh nilai estimasi. Hasil perhitungan menunjukkan nilai a = 720.871,725 dan b = 3,108 sehingga model estimasi mampu menghasilkan proyeksi harga emas yang mendekati pola data historis. Model ini kemudian diimplementasikan ke dalam aplikasi berbasis desktop menggunakan Microsoft Visual Basic 2010 dan basis data Microsoft Access, dilengkapi Crystal Report untuk pencetakan laporan hasil estimasi. Hasil penelitian menunjukkan bahwa algoritma Trend Moment dapat membantu PT Victoeria Vici dalam memperoleh estimasi harga emas secara lebih cepat, konsisten, dan terdokumentasi. Gold is one of the most sought-after commodities for investment purposes, as it is regarded as a safer instrument compared to stocks and has a selling value that constantly fluctuates with market conditions. PT Victoeria Vici, a custom gold jewelry business, faces difficulty in determining the estimated selling price offered to customers because the production process for custom orders takes up to 14 days, while gold prices move in an unstructured and fluctuating manner every day, making manual price estimation inaccurate and ineffective. Based on this problem, this study applies the concept of Data Mining using the Trend Moment algorithm to estimate gold prices over a certain period of time. The data used is historical daily gold price data per gram from PT Victoeria Vici for the period of August–October 2021, consisting of 92 records. The research stages include data collection, determination of the X and Y variables, elimination to obtain the constant value a and the slope b, and the application of the equation Y = a + bX to obtain the estimated value. The calculation results show a value of a = 720,871.725 and b = 3.108, so that the estimation model is able to produce gold price projections that closely follow the pattern of historical data. This model was then implemented into a desktop-based application using Microsoft Visual Basic 2010 and a Microsoft Access database, equipped with Crystal Report for printing estimation result reports. The results show that the Trend Moment algorithm can help PT Victoeria Vici obtain gold price estimations more quickly, consistently, and in a well-documented manner.

PENYUSUNAN LAPORAN KEUANGAN UMKM BERDASARKAN SAK EMKM: STUDI KASUS TOKO AL HUDA KEBUMEN

Luthfia, Arawindha Delphin, Suryani, Rista Ayu, Sumaryanto
Abstract:   Most micro, small, and medium enterprises (MSMEs) in Indonesia have not prepared financial statements that comply with applicable standards, posing risks to inaccurate business decisions and limiting opportunities to access… o access funding. This study aims to assist Al Huda Plastic and Baking Supplies Store in Kebumen in preparing financial statements in accordance with the Financial Accounting Standards for Micro, Small, and Medium Entities (SAK EMKM). This topic was chosen due to the importance of accounting literacy in managing small businesses, as the understanding of MSME actors regarding accounting standards is still relatively low. This research uses a descriptive qualitative method with a case study approach, utilizing observation, semi-structured interviews, and documentation as data collection techniques. The results show that Al Huda Store has been recording its finances manually. However, these records do not yet cover the components of financial statements required by SAK EMKM, such as the income statement, statement of financial position, and notes to the financial statements. The preparation of financial statements based on these standards has been carried out and demonstrates more accurate and structured financial information. In conclusion, the implementation of financial statements based on SAK EMKM in MSMEs plays a very important role in increasing accountability and quality in business decision-making. The results of this study also provide practical examples that can be used as references and re-applied by other MSMEs with similar characteristics  

EDUKASI BAHASA INDONESIA YANG SANTUN DI MEDIA SOSIAL BAGI SISWA SEKOLAH MENENGAH PERTAMA

Irwan, Rezeki, Tri Indah, Sagala, Rakhmat Wahyudin, Rabukit
Abstract: The development of digital technology has transformed communication patterns among young people, particularly through social media. However, the use of the Indonesian language by junior high school students in digital spaces… aces often neglects linguistic norms and lacks politeness. This community service project aimed to educate students of SMPIT Al-Hijrah 2 Deli Serdang on how to use Indonesian properly, accurately, and politely in digital communication. The method involved initial observation, development of a contextual learning module based on social media content, implementation of interactive training, and follow-up evaluation and mentoring. The results indicate a significant improvement in students’ understanding of language norms and online communication ethics. Students became more aware in choosing appropriate diction, composing grammatically correct sentences, and maintaining polite interactions in social media posts and comments. Post-training mentoring also showed consistency in the students’ application of polite language in their digital interactions. This program demonstrates that language education integrated with digital literacy and character-building can shape ethical and productive communication behaviors among junior high school students. Such education is recommended to be continuously implemented as part of school literacy programs.