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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) ILKOM Jurnal Ilmiah Journal of System and Computer Engineering Sentra Dedikasi: Jurnal Pengabdian Masyarakat
Wungo, Supriyadi La
STMIK Kreatindo Manokwari, Indonesia
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Public Health Social Sciences

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Journal : Journal of System and Computer Engineering

 1 
Sistem Informasi Perhitungan Premi Menggunakan Metode Waterfall Pada CV. Marisa Baru Trisno Wibowo; Supriyadi La Wungo; Rosdiana Rosdiana
Journal of System and Computer Engineering (JSCE) Vol 2 No 2 (2021): JSCE: JULI 2021
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47650/jsce.v2i1.232

Abstract

Kegiatan pekerjaan manusia saat ini umumnya sudah melibatkan teknologi komputer untuk menghasilkan informasi yang akurat dapat dilakukan dengan cepat dan mudah. Karyawan pada Percetakan Marisa Baru memiliki sistem penggajian yang unik, dimana penghasilan dibedakan antara gaji pokok bulanan dan ada tambahan penghasilan berupa penghasilan premi dari hasil percetakan yang dikerjakan oleh karyawan. Disinilah permasalahan terjadi karena premi karyawan dihitung dan diolah secara manual oleh kasir berdasarkan nota pesanan yang masuk kedalam kasir. Kemudian dilakukan perhitungan manual yang direkap setiap hari dan dijumlahkan totalnya selama satu bulan penuh, yang selanjutnya hasil premi ditambahkan dengan gaji tetap perbulan. Karena proses yang manual sering kali terjadi kesalahan perekapan ataupun kesalahan penulisan premi yang dilakukan oleh kasir. Penelitian ini bertujuan untuk merancang system perhitungan premi dan gaji karyawan sehingga dapat memudahkan kasir melakukan perhitungan gaji dan pengelolaan keuangan. Metode Waterfall digunakan sebagai metode pengembangan system
Perancangan Aplikasi Register Penyakit dan Rekam Medis Pasien Pada Puskesmas Tikupon Kecamatan Bualemo Trisno Wibowo; Jeffry Jeffry; Supriyadi La Wungo; Ispanti Zaman
Journal of System and Computer Engineering (JSCE) Vol 2 No 2 (2021): JSCE: JULI 2021
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47650/jsce.v2i1.245

Abstract

Beberapa masalah sering terjadi pada Puskesmas Tikupon Kecamatan Bualemo seperti masalah pada perekaman data pasien yang sering kali terjadi kesalahan-kesalahan seperti kelalaian dan kehilangan data, ketidak pastian, beragamnya pasien (umur, kebiasaan, budaya) dan petugas kesehatan yang lebih dari satu. Jumlah data rekam medis pasien yang cukup banyak biasanya menyulitkan petugas kesehatan untuk mencari atau menganalisis data rekam medis pasien tertentu dengan masalah tertentu pula, dan lagi data – data rekam medis pasien masi disimpan dalam media kertas. Dalam perkembangannya, beberapa model perekaman medis disusun berdasarkan kronologi waktu tertentu, permasalahan tertentu, atau sumber layanan tertentu. Analisis kebutuhan sistem memanfaatkan alat perancangan Diagram Conteks, Diagaram Zero dan Entity Relationship Diagram (ERD) yang terintegrasi dengan database. Metode pengumpulan data melalui teknik wawancara kepada dokter dan kepala puskesmas, teknik observasi dengan pengamatan langsung dan teknik pustaka dengan mengumpulkan serta menganalisis beberpa jurnal terkait. Sistem informasi rekam medic ini dapat dirancangan dan dibuat untuk dioperasikan sebagaimana kegunaannya seperti penginputan data pasien, data penyakit, data keluhan dan data diagnose. System ini juga dapat menyajikan informasi rekam medic dari pasien yang berguna untuk dokter dalam mengambil tindakan medis untuk kesembuhan pasien pada Puskesmas Tikupon Kecamatan Bualemo.
PERANCANGAN SISTEM INFORMASI PENJUALAN DAGING SAPI BERBASIS WEB PADA UD. SAKINAH Yeti Kule; Sukarno Abby; Supriyadi La Wungo; Jeffry Jeffry; Nipsa Asdiana Supak
Journal of System and Computer Engineering (JSCE) Vol 3 No 1 (2022): JSCE: JANUARI 2022
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47650/jsce.v2i2.360

Abstract

Sistem Informasi Penjualan Daging sapi pada UD. Sakinah berbasis web, dengan menggunakan bahasa pemrograman PHP dan MySQL yang bertujuan untuk membantu usaha tersebut dalam proses transaksi penjualan serta untuk penyusunan laporan penjualan. Metode Penelitian yang digunakan penulis dalam penyusunan Karya Tulis Minor (KTM) yaitu Metode Observasi (Pengamatan Langsung), Metode Interview (Wawancara), Metode Kepustakaan. Metode Observasi (Pengamatan Langsung) adalah metode pengumpulan data yang dilakukan secara langsung dengan cara mengamati dan mempelajari masalah-masalah yang ada pada UD. Sakinah. Metode Kepustakaan adalah metode pengumpulan data dengan cara membaca buku-buku yang berkaitan dengan Sistem Informasi Penjualan Daging Sapi Pada UD. Sakinah yang diangkat sebagai judul dalam tugas akhir ini. Berdasarkan hasil penelitian yang diperoleh, proses transaksi penjualan pada UD. Sakinah masih banyak kesalahan dalam pencatatan maupun proses penyusunan laporan penjualannya. Sehingga dibuatlah sistem informasi penjualan ini untuk membantu pemilik dan kasir dengan bahasa pemrograman PHP dan MySQL yang terintegrasi dengan database
Sistem Informasi Pengelolaan Piutang Dan Pembelian Hasil Nilam (Pogostemon Cablin) Pada Kelompok Tani Potoutusan Desa Ampera Trisno Wibowo K; Yadda Undeng; Supriyadi La Wungo
Journal of System and Computer Engineering (JSCE) Vol 3 No 2 (2022): JSCE: Juli 2022
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47650/jsce.v3i2.494

Abstract

The purpose of this research is to design and build an information system that can help the Young Farmers Group Of Ampera Village, Pagimana District, Banggai Regency in managing the receivables of its members and the purchase of patchouli crops from farmers and existing members. As we know together today the Nilam plant (Pogostemon Cablin) becomes the prima donna of agriculture because of the relatively short planting time (4-6 months) and commodity prices are quite high in the market. This research uses the concept of qualitative methods with several data collection techniques such as interviews, literature studies, and direct observation. While in the implementation of the system using context diagram tools, diagram zero, data flow diagram, and ERD integrated with MySql database. The results of this study show that the information system designed and built can solve the problems that exist in the Young Farmers Group working related to the management of receivables and purchase transactions from non-member members and farmers, this information system can also present data/information quickly and efficiently.
Rancang Bangun Sistem Cerdas Pendeteksi Kerusakan Mesin Pada Sepeda Motor 4 Tak Aziz, Firman; Wungo, Supriyadi La; jeffry, Jeffry
Journal of System and Computer Engineering Vol 5 No 1 (2024): JSCE: Januari 2024
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v5i1.1075

Abstract

The influence of using computer technology in solving a problem is very large, for example in determining motor damage. In this case, it is devoted to 4-stroke motorcycle vehicles. Currently, the average motorcyclist does not know about the symptoms or signs of damage to their vehicle, so motorists ignore these symptoms and consider these symptoms to be trivial problems, which will not cause damage to their motorcycles. Motorists will be aware of these symptoms after they can no longer use their vehicles. This research proposes to design an intelligent system that can help motorized vehicle drivers to find out earlier about symptoms or signs of damage to their vehicles and take appropriate action before more serious damage occurs to their vehicles. The results obtained are that an intelligent system can detect damage to a 4-stroke motor quickly and can facilitate the provision of solutions and the diagnostic process without a 4-stroke motor expert
Klasifikasi Liver Cirrhosis Menggunakan Teknik Ensemble: Studi Perbandingan Model Boosted Tree, Bagged Tree, dan Rusboosted Tree Mardewi, Mardewi; Wungo, Supriyadi La
Journal of System and Computer Engineering Vol 5 No 2 (2024): JSCE: Juli 2024
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v5i2.1302

Abstract

Liver cirrhosis, as a significant chronic liver disease, exhibits a rising global prevalence, demanding more effective preventive approaches. In an effort to enhance early detection and patient management, this research proposes the development of a liver cirrhosis risk prediction model using machine learning technology, specifically comparing the performance of three ensemble tree models: Ensemble Boosted Tree, Ensemble Bagged Tree, and Ensemble RUSBoosted Tree. Utilizing clinical and laboratory data from adults with a history or risk of cirrhosis, the study reveals that Ensemble Bagged Tree achieved the highest accuracy at 71%, followed by Ensemble Boosted Tree (67.2%) and Ensemble RUSBoosted Tree (66%). Analysis of clinical and laboratory variables provides further insights into the most significant contributors to risk prediction. The findings lay the groundwork for the advancement of a more sophisticated liver cirrhosis risk prediction tool, supporting a vision of more personalized and effective preventive strategies in liver disease management.
ARIMA Method Implementation for Electricity Demand Forecasting with MAPE Evaluation Wungo, Supriyadi La; Aziz, Firman; Jeffry, Jeffry; Mardewi, Mardewi; Syam, Rahmat Fuady; Nasruddin, Nasruddin
Journal of System and Computer Engineering Vol 6 No 1 (2025): JSCE: January 2025
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v6i1.1666

Abstract

Electricity demand forecasting is critical for efficient energy management and planning. This study focuses on the development and implementation of the Autoregressive Integrated Moving Average (ARIMA) method for forecasting electricity demand in South Sulawesi's power system. The evaluation of forecasting accuracy was conducted using the Mean Absolute Percentage Error (MAPE), which measures the percentage error between predicted and actual values. Two experiments were conducted with different ARIMA models: ARIMA(5,1,0) and ARIMA(2,0,1). Results showed that the ARIMA(5,1,0) model achieved a MAPE of 2.15%, while the ARIMA(2,0,1) model performed slightly better with a MAPE of 1.91%, indicating highly accurate predictions. The findings highlight the effectiveness of the ARIMA method in forecasting electricity demand, providing a reliable tool for energy providers to optimize resource allocation and enhance operational efficiency. Future research may explore integrating ARIMA with other advanced methods to further improve forecasting performance.
Performance Exploration of Tree-Based Ensemble Classifiers for Liver Cirrhosis: Integrating Boosting, Bagging, and RUS Techniques Aziz, Firman; Jeffry, Jeffry; Wungo, Supriyadi La; Rijal, Muhammad; Usman, Syahrul
Journal of System and Computer Engineering Vol 6 No 3 (2025): JSCE: July 2025
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v6i3.2031

Abstract

Liver cirrhosis, as a significant chronic liver disease, exhibits a rising global prevalence, demanding more effective preventive approaches. In an effort to enhance early detection and patient management, this research proposes the development of a liver cirrhosis risk prediction model using machine learning technology, specifically comparing the performance of three ensemble tree models: Ensemble Boosted Tree, Ensemble Bagged Tree, and Ensemble RUSBoosted Tree. Utilizing clinical and laboratory data from adults with a history or risk of cirrhosis, the study reveals that Ensemble Bagged Tree achieved the highest accuracy at 71%, followed by Ensemble Boosted Tree (67.2%) and Ensemble RUSBoosted Tree (66%). Analysis of clinical and laboratory variables provides further insights into the most significant contributors to risk prediction. The findings lay the groundwork for the advancement of a more sophisticated liver cirrhosis risk prediction tool, supporting a vision of more personalized and effective preventive strategies in liver disease management
Decision Support System for Selecting Used Cars Using the Analytical Hierarchy Process (AHP) Method Based on a Website at CV Auto Mobil Manokwari Marhaba, Melvi; Mardewi, Mardewi; Sangka, Yuliana; Hasbi, Hasbi; Wungo, Supriyadi La
Journal of System and Computer Engineering Vol 6 No 3 (2025): JSCE: July 2025
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v6i3.2106

Abstract

Buying a used car is often considered by the public as an alternative because it is more affordable than a new one. However, the process of choosing a used car is not easy because there are various factors that must be considered, such as engine condition, completeness of documents, physical condition, price, engine capacity, and year of manufacture. At CV Auto Mobil Manokwari, prospective buyers often have difficulty determining the choice of a used car that best suits their needs and budget. This research aims to design a website-based decision support system using the Analytical Hierarchy Process (AHP) method to assist buyers in choosing used cars objectively and systematically. The AHP method is used to compare each criterion in pairs and determine the priority weight of each criterion. The system was developed using the PHP programming language and MySQL database with a waterfall approach. With this system, the process of selecting used cars becomes more directed, accurate, and efficient, as well as helping users make decisions practically and quickly, and objectively.
Co-Authors Abasa, Sustrin Adriana, Andi Nur Ilmi Firman Aziz Hasbi Hechmi SHILI Ishak, Pertiwi Ispanti Zaman Jeffry Jeffry L.E.P, Benny Mardewi Mardewi Mardewi, Mardewi Marhaba, Melvi Nasruddin Nasruddin Nipsa Asdiana Supak Rijal, Muhammad Rosdiana Rosdiana Sangka, Yuliana Sukarno Abby Syahrul Usman Syam, Rahmat Fuady Wibowo. K, Trisno Yadda Undeng Yeti Kule