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All Journal Infotek : Jurnal Informatika dan Teknologi
Martua Hamonangan Nasution
Universitas Hamzanwadi
Computer Science & IT Control & Systems Engineering Engineering

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Penggunaan Algoritma K-Means Untuk Menganalisis Pelanggan Potensial Pada Dealer SPS Motor Honda Lombok Timur Nusa Tenggara Barat Yahya, Kurnia bin; Nasution, Martua Hamonangan
Infotek : Jurnal Informatika dan Teknologi Vol 3, No 1 (2020): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (311.416 KB)

Abstract

Credit is the main product of savings and loan cooperatives to increase profitability. The greater the credit issued, the greater the benefits obtained by cooperatives. Each cooperative will package credit products in such a way as to attract the attention of every customer. However, cooperatives can find problems in the process of lending, such as the "Daruzzakah Rensing" Cooperative located in "Desa Rensing, Kecamatan Sakra Barat, Lombok Timur-NTB-Indonesia". The main products of the Cooperative "Daruzzakah Rensing" are savings and loans. In distributing credit, the cooperative always decides based on statistical data. This data is sometimes not useful if the supporting methods used to predict and classify the data are not appropriate. Therefore, this research requires a method that can classify and predict problematic and non-problematic customers. To answer this question, using the SVM (Support Vector Machine) algorithm to find out the level of accuracy in analyzing creditworthiness proposed by prospective debtors. The SVM algorithm is used to predict, classify, evaluate, and analyze credit. From the results of data processing carried out using the SVM algorithm (Support Vector Machine), it can be categorized as an excellent method, with an accuracy of 90.42% and AUC at 0.957. Accuracy of 90.42% means the SVM algorithm can provide decisions about feasible or not feasible in granting credit to customers who apply for loans.DOI : 10.29408/jit.v3i1.1814 
Penerapan Metode Decision Tree Untuk Memprediksi Prestasi Siswa Kelas XII Dilihat dari Nilai Akhir Semester di SMK Negeri 1 Selong Tahun Pelajaran 2017/2018 Nasution, Martua Hamonangan; Sofyan, Muh. Iqbal
Infotek : Jurnal Informatika dan Teknologi Vol 3, No 1 (2020): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (534.583 KB)

Abstract

Along with the development of the human mindset, humans begandevelop systems that can help humans in overcoming problems that arise can be solved easily. Decision tree or better known as the decision tree is an implementation of the system that humans develop in finding and making decisions for these problems by comparing various kinds of problems related to these problems and related to education. Education is a conscious and planned effort to realize learning and the learning process so that students can increase the potential needed by themselves. The function of education is very important as one of the factors driving the development of human resources with the aim of increasing the ability of the community to develop science. Thus, the teaching and learning process is one of the determining factors for the success of education in schools, the low quality of education is the result of the low quality of the learning process carried out in schools. On this occasion, the researcher made preparations for the grades of class XII students at SMK Negeri 1 Selong for 2018/2019 school year using RapidMiner as a tool and applying the Decision Tree method to assess student achievement levels as seen from the report card grades. This research is one of the school action research conducted by researchers who conducted this research in order to improve the achievement of students of SMK Negeri 1 Selong.DOI : 10.29408/jit.v3i1.1825
RANCANG BANGUN SYSTEM KOMPUTERISASI PENGUATAN PELAYANAN KELOMPOK PENYELENGGARA SANITASI PENYEDIA AIR MINUM (KPSPAM “DJ-MENTENG”) DESA PENDEM KEC. JANAPRIA Ahmadi, Hamzan; Nasution, Martua Hamonangan
Infotek : Jurnal Informatika dan Teknologi Vol 2, No 2 (2019): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (436.11 KB)

Abstract

AbstrakDusun Jelitong merupakan salah satu dusun di Desa Pendem Kec. Janapria Kab. Lombok Tengah yang mendapat bantuan program Penyedia Air Minum Dan Sanitasi Berbasis Masyarakat (PAMSIMAS) ditahun 2017, dengan memanfaatkan mata air yang ada, kemudian dilakukan penampungan yang kemudian sejak Januari 2018 mulai beroprasi dengan menyambungkan watermater langsung ke rumah-rumah penduduk. Petugas yang melakukan pemeliharaan, pengoperasian, pengontrolan disebut Kelompok Penyelenggara Sanitasi Penyedia Air Minum (KPSPAM) “DJ-Menteng”, petugas sangat sulit dalam melalukan pengitungan dan pengolahan data dalam merekap dan pelaporan keuangan yang berimbar pada pelayanan  masyarakat atau pelanggan yang menggunakan air. Masyarakat sering mengeluh dikarenakan sistem pembayaran yang masih manual, proses yang lambat dan tidak akurat yang bisa mengakibatkan kesalah pahaman antara petugas dengan pelanggan. Penerapan teknoligi informasi diharpkan mampu memberikan solusi yang tepat dalam memberikan pelayanan yang maksimum, dengan alasan inilah penelitian dilakukan untuk melakukan pengumpulan atau pencatatan data pelanggan dan watermeter yang akan diolah oleh komputer dengan menggunaka bahasa pemrograman web yang bisa menyimpan data jika sewaktu-waktu dibutuhkan untuk dipertanggungjawabkan oleh petugas KPSPAM.Kata Kunci : Pamsimas, Air Bersih, KPSPAM, WebAbstractJelitong Hamlet is one of the hamlets in Pendem Village, Janapria Subdistrict, Central Lombok Regency who received assistance from the Community Based Water and Sanitation Provider (PAMSIMAS) program in 2017, by utilizing existing springs, then a shelter is carried out which then from January 2018 begins operating by connecting the water mater directly to people's homes. Officers who carry out maintenance, operation, control are called the Sanitation Provider Drinking Water Provider Group (KPSPAM) "DJ-Menteng", officers are very difficult in carrying out calculations and processing data in recapitulation and financial reporting that leads to community services or customers who use water. People often complain that the payment system is still manual, the process is slow and inaccurate which can lead to misunderstandings between officers and customers. The application of information technology is expected to be able to provide the right solution in providing maximum service, for this reason research is conducted to collect or record customer data and water meters that will be processed by computers using a web programming language that can store data if needed at any time to account by KPSPAM officers.DOI : 10.29408/jit.v2i2.1427
Penggunaan Algoritma K-Means Untuk Menganalisis Pelanggan Potensial Pada Dealer SPS Motor Honda Lombok Timur Nusa Tenggara Barat Kurnia bin Yahya; Martua Hamonangan Nasution
Infotek: Jurnal Informatika dan Teknologi Vol 3, No 1 (2020): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (311.416 KB) | DOI: 10.29408/jit.v3i1.1814

Abstract

Credit is the main product of savings and loan cooperatives to increase profitability. The greater the credit issued, the greater the benefits obtained by cooperatives. Each cooperative will package credit products in such a way as to attract the attention of every customer. However, cooperatives can find problems in the process of lending, such as the "Daruzzakah Rensing" Cooperative located in "Desa Rensing, Kecamatan Sakra Barat, Lombok Timur-NTB-Indonesia". The main products of the Cooperative "Daruzzakah Rensing" are savings and loans. In distributing credit, the cooperative always decides based on statistical data. This data is sometimes not useful if the supporting methods used to predict and classify the data are not appropriate. Therefore, this research requires a method that can classify and predict problematic and non-problematic customers. To answer this question, using the SVM (Support Vector Machine) algorithm to find out the level of accuracy in analyzing creditworthiness proposed by prospective debtors. The SVM algorithm is used to predict, classify, evaluate, and analyze credit. From the results of data processing carried out using the SVM algorithm (Support Vector Machine), it can be categorized as an excellent method, with an accuracy of 90.42% and AUC at 0.957. Accuracy of 90.42% means the SVM algorithm can provide decisions about feasible or not feasible in granting credit to customers who apply for loans.DOI : 10.29408/jit.v3i1.1814 
Penerapan Metode Decision Tree Untuk Memprediksi Prestasi Siswa Kelas XII Dilihat dari Nilai Akhir Semester di SMK Negeri 1 Selong Tahun Pelajaran 2017/2018 Martua Hamonangan Nasution; Muh. Iqbal Sofyan
Infotek: Jurnal Informatika dan Teknologi Vol 3, No 1 (2020): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (534.583 KB) | DOI: 10.29408/jit.v3i1.1825

Abstract

Along with the development of the human mindset, humans begandevelop systems that can help humans in overcoming problems that arise can be solved easily. Decision tree or better known as the decision tree is an implementation of the system that humans develop in finding and making decisions for these problems by comparing various kinds of problems related to these problems and related to education. Education is a conscious and planned effort to realize learning and the learning process so that students can increase the potential needed by themselves. The function of education is very important as one of the factors driving the development of human resources with the aim of increasing the ability of the community to develop science. Thus, the teaching and learning process is one of the determining factors for the success of education in schools, the low quality of education is the result of the low quality of the learning process carried out in schools. On this occasion, the researcher made preparations for the grades of class XII students at SMK Negeri 1 Selong for 2018/2019 school year using RapidMiner as a tool and applying the Decision Tree method to assess student achievement levels as seen from the report card grades. This research is one of the school action research conducted by researchers who conducted this research in order to improve the achievement of students of SMK Negeri 1 Selong.DOI : 10.29408/jit.v3i1.1825
RANCANG BANGUN SYSTEM KOMPUTERISASI PENGUATAN PELAYANAN KELOMPOK PENYELENGGARA SANITASI PENYEDIA AIR MINUM (KPSPAM “DJ-MENTENG”) DESA PENDEM KEC. JANAPRIA Hamzan Ahmadi; Martua Hamonangan Nasution
Infotek: Jurnal Informatika dan Teknologi Vol 2, No 2 (2019): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (436.11 KB) | DOI: 10.29408/jit.v2i2.1427

Abstract

AbstrakDusun Jelitong merupakan salah satu dusun di Desa Pendem Kec. Janapria Kab. Lombok Tengah yang mendapat bantuan program Penyedia Air Minum Dan Sanitasi Berbasis Masyarakat (PAMSIMAS) ditahun 2017, dengan memanfaatkan mata air yang ada, kemudian dilakukan penampungan yang kemudian sejak Januari 2018 mulai beroprasi dengan menyambungkan watermater langsung ke rumah-rumah penduduk. Petugas yang melakukan pemeliharaan, pengoperasian, pengontrolan disebut Kelompok Penyelenggara Sanitasi Penyedia Air Minum (KPSPAM) “DJ-Menteng”, petugas sangat sulit dalam melalukan pengitungan dan pengolahan data dalam merekap dan pelaporan keuangan yang berimbar pada pelayanan  masyarakat atau pelanggan yang menggunakan air. Masyarakat sering mengeluh dikarenakan sistem pembayaran yang masih manual, proses yang lambat dan tidak akurat yang bisa mengakibatkan kesalah pahaman antara petugas dengan pelanggan. Penerapan teknoligi informasi diharpkan mampu memberikan solusi yang tepat dalam memberikan pelayanan yang maksimum, dengan alasan inilah penelitian dilakukan untuk melakukan pengumpulan atau pencatatan data pelanggan dan watermeter yang akan diolah oleh komputer dengan menggunaka bahasa pemrograman web yang bisa menyimpan data jika sewaktu-waktu dibutuhkan untuk dipertanggungjawabkan oleh petugas KPSPAM.Kata Kunci : Pamsimas, Air Bersih, KPSPAM, WebAbstractJelitong Hamlet is one of the hamlets in Pendem Village, Janapria Subdistrict, Central Lombok Regency who received assistance from the Community Based Water and Sanitation Provider (PAMSIMAS) program in 2017, by utilizing existing springs, then a shelter is carried out which then from January 2018 begins operating by connecting the water mater directly to people's homes. Officers who carry out maintenance, operation, control are called the Sanitation Provider Drinking Water Provider Group (KPSPAM) "DJ-Menteng", officers are very difficult in carrying out calculations and processing data in recapitulation and financial reporting that leads to community services or customers who use water. People often complain that the payment system is still manual, the process is slow and inaccurate which can lead to misunderstandings between officers and customers. The application of information technology is expected to be able to provide the right solution in providing maximum service, for this reason research is conducted to collect or record customer data and water meters that will be processed by computers using a web programming language that can store data if needed at any time to account by KPSPAM officers.DOI : 10.29408/jit.v2i2.1427
Analisis Kompetensi Siswa Dalam Ilmu Robotika Menggunakan Mixed Methods Taufik Akbar; Jagat Sugiantara; Arnila Sandi; Martua Hamonangan Nasution; Ari Satriadi
Infotek: Jurnal Informatika dan Teknologi Vol. 8 No. 1 (2025): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v8i1.28449

Abstract

His study aims to evaluate the impact of robotics training on the technical and analytical skills of students at SMK NWDI Renco. The background of this research is based on the importance of developing technical and analytical skills in the era of the Industrial Revolution 4.0, where technology and automation have become integral parts of various industrial sectors. Vocational education at the high school level plays a strategic role in preparing a competent and adaptive workforce to meet technological advancements.The research method used is a mixed-method approach, combining both quantitative and qualitative methodologies. An experimental design was implemented with pre-test and post-test evaluations to measure changes in students' technical and analytical skills before and after the robotics training. Quantitative data were collected through specially developed technical and analytical skill tests, while qualitative data were gathered through in-depth interviews and Focus Group Discussions (FGDs) with students and teachers involved in the training. The robotics training program was conducted over eight weeks, covering topics such as the fundamentals of robotics, programming, and practical applications through small-scale projects. Participants were purposively sampled and consisted of 30 eleventh-grade students from SMK NWDI Renco. A pre-test was conducted prior to the training to assess the students' baseline skills. During the training, direct observations were made to document students’ progress, and activities were documented. A post-test was conducted after the training to evaluate changes in technical and analytical skills. The results of the study showed a significant improvement in students’ understanding and skills. The average pre-test score was 63.2, while the average post-test score increased to 84.5. Specifically, the improvements included a 41.7% increase in the understanding of robotics concepts, a 35.4% improvement in microcontroller utilization, and a 24.6% improvement in sensor and actuator applications.
Co-Authors Ari Satriadi Arnila Sandi Hamzan Ahmadi Jagat Sugiantara Muh. Iqbal Sofyan Sofyan, Muh. Iqbal Taufik Akbar Yahya, Yahya