Abstract:Abstract: Program Indonesia Pintar (PIP) is government assistance program aimed at supporting the education of underprivileged students. However, some PIP fund recipients are misallocated, with aid given to students who…
do not fully meet the eligibility criteria, while those in greater need don’t receive it, including at SDN 014672 Tanjung Alam, Asahan Regency, North Sumatra Province. Based on this issue, a structured system is needed. The purpose of this study is to construct decision support systems for determining PIP fund recipients using Additive Ratio Assessment (ARAS) method. Data was collected using questionnaires, documentation, and observation techniques. Respondents consisted of 8 students from SDN 014672 Tanjung Alam. Criteria include number of dependents, homeownership status, attendance rate, and students final grades. System was developed using CodeIgniter 3 as framework, MySQL as database software, and InnoDB as database engine. ARAS method was applied to rank available alternatives. Based on calculations, first rank was obtained by alternative 6 (Malika Hendra As-Syifa), second rank by alternative 7 (Mutia Indah Sari), and third rank by alternative 8 (Rafa Kavindra). This study is expected to be further developed by applying other DSS methods, performing regular system maintenance, and integrating system with school data to improve accuracy and usability.
Keywords: additive ratio assessment; decision support system; smart indonesia program.
Abstrak: Program Indonesia Pintar (PIP) merupakan bantuan pemerintah untuk mendukung pendidikan siswa kurang mampu. Namun, masih ditemukan penerima anggaran PIP yang kurang tepat sasaran, di mana bantuan diberikan kepada siswa yang kurang memenuhi kriteria, sementara siswa yang lebih membutuhkan tidak menerimanya, termasuk di SDN 014672 Tanjung Alam, Kabupaten Asahan, Provinsi Sumatera Utara. Berdasarkan permasalahan tersebut, dibutuhkan sebuah sistem terstruktur. Tujuan penelitian ini untuk membangun sistem pendukung keputusan penetapan pemeroleh anggaran PIP menggunakan metode Additive Ratio Assessment (ARAS). Data dikumpulkan dengan teknik angket, dokumentasi, dan observasi. Responden adalah 8 siswa SDN 014672 Tanjung Alam. Kriteria meliputi jumlah tanggungan orang tua, status kepemilikan rumah, tingkat kehadiran, dan nilai akhir siswa. Sistem dirancang menggunakan CodeIgniter 3 sebagai framework, MySQL sebagai database software, dan InnoDB sebagai database engine. Perhitungan dengan metode ARAS digunakan untuk merangking alternatif yang ada. Berdasarkan perhitungan yang dilakukan, peringkat pertama diperoleh oleh alternatif 6 yakni Malika Hendra As-Syifa, peringkat kedua diperoleh oleh alternatif 7 yakni Mutia Indah sari, dan peringkat ketiga diperoleh oleh alternatif 8 yakni Rafa Kavindra. Penelitian ini diharapkan dapat dikembangkan lebih lanjut dengan menerapkan metode Sistem Pendukung Keputusan (SPK) lainnya, melakukan pemeliharaan sistem secara berkala, serta mengintegrasikan sistem dengan data sekolah untuk meningkatkan keakuratan dan kemudahan penggunaan.
Kata kunci: additive ratio assessment; program indonesia pintar; sistem pendukung keputusan
Abstract:Abstract: Breast cancer is the leading cause of death for women globally, exacerbated by late detection. This study proposes a breast cancer risk prediction framework using XGBoost with SelectKBest feature selection. It…
aims to improve the accuracy and efficiency of early detection through exploratory data analysis, coding, SMOTE to address class imbalance, and feature selection (k=29). As a result, the XGBoost model achieved 98.1% accuracy, 98.1% recall, 98.1% f1-score, and 98.2% precision on test data, highlighting the importance of feature selection. These results are promising in patient prioritization (triage) for further examination, helping medical personnel identify high-risk patients, thus improving resource allocation efficiency. These findings validate SelectKBest and pave the way for the development of a machine learning-based clinical decision support system for breast cancer early detection workflows. This research contributes significantly to the application of machine learning to support early breast cancer detection.
Keywords: breast cancer; feature selection; machine learning; risk prediction; XGBOOST.
Abstrak: Kanker payudara menjadi penyebab utama kematian wanita global, diperparah deteksi yang terlambat. Penelitian ini mengusulkan kerangka prediksi risiko kanker payudara menggunakan XGBoost dengan seleksi fitur SelectKBest. Tujuannya meningkatkan akurasi dan efisiensi deteksi dini melalui analisis data eksploratif, pengkodean, SMOTE untuk mengatasi ketidakseimbangan kelas, dan seleksi fitur (k=29). Hasilnya, model XGBoost mencapai akurasi 98.1%, recall 98.1%, f1-score 98.1%, dan presisi 98.2% pada data uji, menyoroti pentingnya seleksi fitur. Hasil ini menjanjikan dalam penentuan prioritas pasien (triage) untuk pemeriksaan lebih lanjut, membantu tenaga medis mengidentifikasi pasien berisiko tinggi, sehingga meningkatkan efisiensi alokasi sumber daya. Temuan ini memvalidasi SelectKBest dan membuka jalan bagi pengembangan sistem pendukung keputusan klinis berbasis machine learning untuk alur kerja deteksi dini kanker payudara. Penelitian ini berkontribusi signifikan dalam penerapan machine learning untuk mendukung deteksi dini kanker payudara.
Kata kunci: kanker payudara; pembelajaran mesin; prediksi risiko ; seleksi fitur; XGBOOST.
Abstract:Abstract: CV. Ria Kencana Ungu (RKU), as a research partner in the field of computer service, needs to improve the quality of customer service and efficiency in the process of troubleshooting computer damage. To meet these…
se needs, an expert system based on the forward chaining method was developed that is able to diagnose damage automatically. This system was developed using the waterfall method, with systematic stages from analysis to implementation. The implementation results show that the system can identify the type of damage with an accuracy rate of 89% based on validation tests on 100 real troubleshooting cases. The evaluation metric uses a comparison between the results of the system diagnosis and the results of the technician's analysis. Although the system is able to increase service efficiency by up to 40% compared to conventional methods, several obstacles were found, such as the limited initial knowledge base that impacts the accuracy of the diagnosis and the difficulty of users in understanding the system interface. Therefore, further development is needed to expand the knowledge base and improve the user experience. This study aims to develop a forward chaining-based expert system to improve efficiency, accuracy, and speed of problem solving at CV. Ria Kencana Ungu (RKU) and to increase customer satisfaction through more responsive and precise services..
Keywords: expert system; computer troubleshooting; forward chaining method
Abstrak: CV. Ria Kencana Ungu (RKU), sebagai mitra penelitian di bidang layanan servis komputer, membutuhkan peningkatan kualitas layanan pelanggan dan efisiensi dalam proses troubleshooting kerusakan komputer. Untuk memenuhi kebutuhan tersebut, dikembangkan sistem pakar berbasis metode forward chaining yang mampu mendiagnosis kerusakan secara otomatis. Sistem ini dikembangkan menggunakan metode waterfall, dengan tahapan yang sistematis dari analisis hingga implementasi. Hasil implementasi menunjukkan bahwa sistem dapat mengidentifikasi jenis kerusakan dengan tingkat akurasi sebesar 89% berdasarkan uji validasi terhadap 100 kasus troubleshooting nyata. Metrik evaluasi menggunakan perbandingan antara hasil diagnosis sistem dan hasil analisis teknisi. Meskipun sistem mampu meningkatkan efisiensi layanan hingga 40% dibandingkan metode konvensional, beberapa kendala ditemukan, seperti keterbatasan basis pengetahuan awal yang berdampak pada akurasi diagnosis dan kesulitan pengguna dalam memahami antarmuka sistem. Oleh karena itu, pengembangan lebih lanjut diperlukan untuk memperluas basis pengetahuan dan meningkatkan pengalaman pengguna. Penelitian ini bertujuan mengembangkan sistem pakar berbasis forward chaining untuk meningkatkan efisiensi, akurasi, dan kecepatan troubleshooting di CV. Ria Kencana Ungu (RKU) serta meningkatkan kepuasan pelanggan melalui layanan yang lebih responsif dan presisi.
Kata kunci: sistem pakar; troubleshooting komputer; metode forward chaining
Abstract:The laboratory is one of the facilities owned by the FMIPA Laboratory, which is one of the facilities owned by Tanjungpura University to support tridharma activities. There are several problems in laboratory management,…
namely that management is carried out manually, so it takes a long time to apply for the loan of laboratory equipment and to prepare a free laboratory loan letter. In order to improve services, ensure data security, and accommodate all laboratory data, it is necessary to develop an FMIPA laboratory information system (SILABMIPA). The FAST framework is used in developing SILABMIPA to suit user needs. The analysis and development of SILABMIPA follows the FAST method with the stages Scope Definition, Problem Analysis, Requirements Analysis, Logical Design, Decision Analysis, Physical Design and Integration, Construction and Testing. With the construction of SILABMIPA, it can make it easier for managers to manage laboratories, assist students in applying for and borrowing equipment, as well as making laboratory loan-free certificates. Based on the results of system functional testing against SILABMIPA, it was found that the system operates well in accordance with the user's functional needs, while the results of system interface testing obtained a percentage of 82.60% in the very good category.
Abstract:Abstract: Technological developments are currently increasing rapidly, especially in the innovation of information data management. With so many media providing informationand services online, as well as the services provided…
vided by the Government of Sekadau Regency in the form of Webstie sekadaukab.go.id. Based on the survey results, the problems experienced by users are output and performance from sekadaukab.go.id still does not meet user expectations. Study this aims to measure the quality of information systems sekadaukab.go.id and also measure the level of user satisfaction with sekadaukab.go.id. By using the method McCall and EUCS (End User Computing Satisfaction) and using methods IPA (Importance Performance Analysis) to map variables into the level of importance and level of performance, the variables used are the variables in the method EUCS (End User Computing Satisfaction). Questionnaires were distributed to 100 users sekadaukab.go.id. The average quality generated by the method McCall of 43.6%, included in the pretty good category. For the results of measuring user satisfaction methods EUCS (End User Computing Satisfaction), each variable is included in the doubtful category range value 2.60 – 3.39. There are 18 recommendations for improvement based on the method McCall and the IPA method to the Kominfo Sekadau Regency against sekadaukab.go.id.
Keywords: EUCS; IPA; McCall; public service; quality system
Abstrak:Perkembangan teknologi saat ini semakin pesat, khususnya pada inovasi pengelolaan data informasi. Dengan banyaknya media menyediakan informasi dan pelayanan secara online, begitu juga dengan pelayanan yang disediakan oleh Pemerintah Kabupaten Sekadau berupa Webstie sekadaukab.go.id. Berdasarkan hasil survey, permasalahan yang dialami oleh pengguna yaitu output dan kinerja dari sekadaukab.go.id masih belum memenuhi harapan pengguna. Penelitian ini bertujuan untuk mengukur kualitas dari sistem informasi sekadaukab.go.id dan juga mengukur tingkat kepuasan pengguna terhadap sekadaukab.go.id. Dengan menggunakan metode McCall dan EUCS (End User Computing Satisfaction) serta menggunakan metode IPA (Importance Performance Analysis) untuk memetakan variabel kedalam tingkat kepentingan dan tingkat kinerja, variabel yang digunakan yaitu variabel pada metode EUCS (End User Computing Satisfaction). Kuesioner dibagikan kepada 100 orang pengguna sekadaukab.go.id. Rata- rata kualitas yang dihasilkan berdasarkan metode McCall sebesar 43,6%, masuk kedalam
kategori cukup baik. Untuk hasil pengukuran kepuasan pengguna metode EUCS (End User Computing Satisfaction), masing-masing variabel masuk kedalam kategori ragu- ragu dengan range nilai 2.60 – 3.39. Terdapat 18 rekomendasi perbaikan berdasarkan pada metode McCall dan metode IPA kepada pihak Kominfo Kabupaten Sekadau terhadap sekadaukab.go.id.
Kata kunci: EUCS; IPA; kualitas sistem; MCCALL; pelayanan publik
Abstract:Abstract: Utilization of IT can provide services to the community, encourage convenience in public services at a more affordable cost and performance efficiency. IT governance that includes leadership, organizational structure,…
ucture, and processes in its management ensures that IT is utilized as optimally as possible to meet current and future needs of the organization. The Population and Civil Registration Office of Kubu Raya Regency utilizes IT in carrying out public service activities using the SIPEMUDA Application. An information system audit is needed to improve system performance. In this study, using the Control Objective for Information and Related Technology (COBIT 2019) to determine whether the organization's needs have been supported by management and the Information Technology Infrastructure Library (ITIL 4) domain service management to determine suggestions for improvement. Capability level assessment in this study using COBIT Performance Management. The results of the capability assessment are that there are 6 processes reaching level 1, 33 processes reaching level 2, 28 processes reaching level 3, 18 processes reaching level 4, 7 processes reaching level 5 while the level that does not meet the capabilities is 19 processes. Furthermore, the results of process recommendations that do not meet the capabilities are prioritized using the Action Priority Matrix.
Keywords: action priority matrix, cobit 2019, cobit performance management, itil 4, public service
Abstrak: Pemanfaatan TI dapat memberikan pelayanan kepada masyarakat, mendorong kemudahan dalam pelayanan publik dengan biaya yang lebih terjangkau dan efisiensi kinerja. Tata kelola TI yang mencakup kepemimpinan, struktur organisasi, dan proses, dalam pengelolaannya untuk memastikan bahwa TI dimanfaatkan seoptimal mungkin memenuhi kebutuhan organisasi saat ini dan yang akan datang. Dinas Kependudukan dan Pencatatan Sipil Kabupaten Kubu Raya memanfaatkan TI dalam melaksanakan kegiatan pelayanan publik menggunakan Aplikasi SIPEMUDA. Audit sistem informasi diperlukan untuk meningkatkan kinerja sistem. Dalam penelitian ini, menggunakan Control Objective for Information and Related Technology (COBIT 2019) menentukan apakah kebutuhan organisasi sudah didukung oleh pengelolaan serta Information Technology Infrastructure Library (ITIL 4) domain service management untuk menentukan saran perbaikan. Penilaian level kapabilitas pada penelitian ini menggunakan COBIT Performance Management. Hasil penilaian kapabilitas yaitu terdapat 6 proses mencapai level 1, 33 proses mencapai level 2, 28 proses mencapai level 3, 18 proses mencapai level 4, 7 proses mencapai level 5 sedangkan level yang tidak memenuhi kapabilitas yaitu 19 proses untuk diberikan rekomendasi. Selanjutnya hasil rekomendasi proses tersebut diprioritaskan menggunakan Action Priority Matrix.
Kata kunci: action priority matrix, cobit 2019, cobit performance management, itil 4, pelayanan publik.
Abstract:Abstract: Non-performing loan (NPL) is a risk that credit unions must face and to avoid that, prospective debtors need to be surveyed. With previous loan data, support vector machine and naïve bayes can be used as classification…
ssification methods to give a decision about NPL. We use a data set with 61 data and process the data with orange 3.30 application to see the difference between SVM using linear (SVM-L), polynomial (SVM-P), RBF (SVM-R) and sigmoid (SVM-S) kernel with naïve bayes. We use a cross validation technique with various folds to measure the classification results and a convusion matrix to measure the data training classification results. Naïve bayes scores the highest in terms of accuracy and SVM-R scores the highest in terms of F1, precision and recall. SVM-P scores the lowest in terms of accuracy, F1, precision and recall. Naïve bayes scores the highest in terms of proportion of predicted for true negative class and proportion of actual for true positive class. SVM-S scores the highest in terms of proportion of predicted for true positive class and proportion of actual for true negative class. SVM-P scores the lowest in both proportion of predicted and proportion of actual.
Keywords: classification; naïve bayes; non-performing loan; support vector machine
Abstrak: Kredit macet merupakan resiko yang sering dialami koperasi simpan pinjam, sehingga perlu dilakukan survei terhadap calon debitur agar kredit menjadi sehat. Dengan menggunakan data pemberian kredit sebelumnya, support vector machine dan naïve bayes digunakan sebagai metode klasifikasi untuk memberikan keputusan macet atau tidaknya kredit anggota koperasi Mutiara Sejahtera. Data set yang berjumlah 61 data diolah menggunakan aplikasi Orange 3.30 dan dilihat perbandingan antara metode SVM dengan kernel linear, polynomial, RBF dan sigomoid dengan metode naïve bayes. Cross validation dengan jumlah fold bervariasi digunakan sebagai nilai ukur klasifikasi dan convusion matrix digunakan sebagai nilai ukur klasifikasi data training. Hasil yang diperoleh adalah naïve bayes memiliki nilai accuracy tertinggi dan SVM kernel RBF memiliki nilai F1, precision dan recall tertinggi. SVM kernel polynomial memiliki nilai terendah untuk accuracy, F1, precision dan recall. Naïve bayes memiliki nilai tertinggi untuk proportion of predicted (PoP) kelas true negative dan proportion of actual (PoA) kelas true positive. SVM kernel sigmoid memiliki nilai tertinggi untuk PoP kelas true positive dan PoA kelas true negative. SVM kernel polynomial memiliki nilai terendah baik untuk PoP maupun PoA true negative dan kelas true positive.
Kata kunci: klasifikasi; kredit macet; naive bayes; SVM
Abstract:Abstract : Directorate General of State Assets West Kalimantan Regional Office each year has a work program provided by the central DJKN that must be completed, The work program is carried out with the target set by the…
central DJKN. DJKN has a standard method in measuring each work plan program, namely using the Balanced Scorecard method, But in its application there are still many processes in measuring and monitoring plans that are done manually so that business processes are carried out for a long time and are ineffective and without an information system, the monitoring process cannot be done in real time anywhere and anytime so that some work plans are late accordingly. with targets that will directly affect performance. This study aims to cut the manual business process by using a website-based performance monitoring and measurement system so that it is hoped that the performance monitoring process can be carried out optimally in real time and easily. The results of this research are in the form of a website-based performance monitoring and measurement system that has been tested for system functionalities and system interfaces by obtaining results according to each functional system and system interface available and testing for users at the Directorate General of State Assets West Kalimantan Regional Office obtaining a percentage of 88.55 % .
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Keywords : Balanced Scorecard ; DJKN ; Monitoring ; Performance Measurement
Abstract : Directorate General State Assets (DGST ) West Kalimantan Regional Office every year year have a given work program by the central DJKN which must completed , work program implemented with the target that has been set by the central DJKN . DJKN has standard method in measure every program plan work that is use the Balanced Scorecard method, but in implementation still many processes in measure and monitoring plan work done manually so that the business processes that are run eat long time and no effective as well as without existence system information make the monitoring process not can done by realtime everywhere and any time so that make a number of plan work late no in accordance with a target that direct will influence performance . Study this aim cut those manual business processes with use monitoring system and measurement performance web -based so that expected performance monitoring process could done by maximum with easy and realtime , Results study this in the form of monitoring system and measurement performance based on a website that has been tested functional system and interface system with get results in accordance will every functional system and interface existing system _ and testing to users at the West Kalimantan Regional Office DJKN get results percentage 88.55%.
Keywords: Balanced Scorecard ; DJKN ; Monitoring ; Performance Measurement
Abstract:Abstract: In this study, one of the 4.0 industrial technologies was used to monitor the parameters of the localizer using an android based internet of things application to simplify and shorten the time for monitoring instrument…
strument landing system (ILS) equipment. Technicians, management of the Public Company (Perum) Indonesian Aviation Navigation Service Organizing Agency, and the Navigation Inspector do not have to go the runway to check the performance of the landing system instrument, simply use the android application to monitor the parameters of the localizer instrument. In the experiment, measuring the input voltage to the Arduino pin with a negative ground position and positive in the A9 pin position with the playing condition o Tx1 in the on position using a multimeter, the voltage value is 2.99 volt, while the main position on Tx1 is in the off condition, the voltage value is obtained 4.88 volts.
Keywords: instrument landing system; internet of things
Abstrak: Pada penelitian ini digunakan salah satu teknologi industri 4.0 untuk memonitoring parameter dari Localizer menggunakan aplikasi android berbasis Internet of Things (IoT) untuk mempermudah dan mempersingkat waktu dalam monitoring peralatan instrument landing system (ILS). Teknisi, manajemen Perusahaan Umum (Perum) Lembaga Penyelenggara Pelayanan Navigasi Penerbangan Indonesia LPPNPI dan Inspektur Navigasi tidak harus ke landasan pacu untuk mengecek kinerja instrument landing system cukup menggunakan aplikasi android untuk memonitoring parameter Localizer instrument landing system (ILS). Pada percobaan pengukuran tegangan input ke pin arduino dengan negatif pada posisi ground dan positif berada pada posisi pin A9 dengan kondisi main di TX1 pada posisi on dengan menggunakan multimeter didapat nilai tegangan 2,99 Volt, sedangkan posisi main di TX1 pada kondisi off didapat nilai tegangan 4,88 Volt.
Kata kunci: instrument landing system; internet of things
Abstract:Abstract: This decision support system is an alternative to helping rabbit breeders to determine which broiler rabbit is feasible to develop. Along with the increasing public demand for rabbit production. Rabbit breeders…
are eager to choose the type of rabbit that really qualified and can grow fast. For that decision support system is helping the farmers to choose the type of quality broiler rabbit or feasible to be developed. To facilitate rabbit breeders in developing rabbit prodution in determining the best types of broiler rabbit and To get more accurate results in the process of determining the types of broiler rabbits. Also Applying Decision Support System with Fuzzy Multi Criteria Decision Making method can simplify and accelerate to determine the best types of broiler rabbit to be developed
Keywords: broiler rabbit, fuzzy multi criteria decision making
Abstrak: Sistem Pendukung keputusan ini merupakan alternatif untuk membantu peternak kelinci untuk menentukan kelinci pedaging yang layak untuk di kembangkan. Seiring dengan meningkatnya permintaan masyarakat akan produksi kelinci. Peternak kelinci berkeinginan untuk memilih jenis kelinci yang benar benar berkualitas dan dapat berkembang cepat. Untuk itu sistem pendukung keputusan ini membantu pihak peternak untuk memilih jenis kelinci pedaging yang berkualitas atau layak untuk di kembangkan. Untuk memudahkan pihak peternak kelinci dalam mengembangkan produsi kelinci dalam menentukan jenis kelinci pedaging terbaik dan Untuk mendapatkan hasil yang lebih akurat dalam proses penentuan jenis kelinci pedaging. Juga Menerapkan Sistem pendukung keputusan dengan metode Fuzzy Multi Criteria Decision Making dapat mempermudah dan mempercepat untuk menentukan jenis kelinci pedaging terbaik untuk dikembangkan.
Kata kunci: kelinci pedaging, fuzzy multi criteria decision making