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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) ILKOM Jurnal Ilmiah Journal of System and Computer Engineering Global Abdimas: Jurnal Pengabdian Masyarakat Sentra Dedikasi: Jurnal Pengabdian Masyarakat
Wungo, Supriyadi La
STMIK Kreatindo Manokwari, Indonesia
Agriculture, Biological Sciences & Forestry Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Health Professions Languange, Linguistic, Communication & Media Library & Information Science Public Health Social Sciences Transportation Other

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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.
Increasing Performance of Multiclass Ensemble Gradient Boost uses Newton-Raphson Parameter in Physical Activity Classifying Supriyadi La Wungo; Firman Aziz
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 16, No 3 (2022): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.73179

Abstract

The sophistication of smartphones with various sensors they have can be used to recognize human physical activity by placing the smartphone on the human body. Classification of human activities, the best performance is obtained when using machine learning methods, while statistical methods such as logistic regression give poor results. However, the weakness of the logistic regression method in classifying human activities is corrected by using the ensemble technique. This paper proposes to apply the Multiclass Ensemble Gradient Boost technique to improve the performance of the Logistic Regression classification in classifying human activities such as walking, running, climbing stairs, and descending stairs. The results show that the Multiclass Ensemble Gradient Boost Classifier by Estimating the Newton-Raphson Parameter succeeded in improving the performance of logistic regression in terms of accuracy by 29.11%.
Increasing Performance of Multiclass Ensemble Gradient Boost uses Newton-Raphson Parameter in Physical Activity Classifying Supriyadi La Wungo; Firman Aziz
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 16, No 3 (2022): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.73179

Abstract

The sophistication of smartphones with various sensors they have can be used to recognize human physical activity by placing the smartphone on the human body. Classification of human activities, the best performance is obtained when using machine learning methods, while statistical methods such as logistic regression give poor results. However, the weakness of the logistic regression method in classifying human activities is corrected by using the ensemble technique. This paper proposes to apply the Multiclass Ensemble Gradient Boost technique to improve the performance of the Logistic Regression classification in classifying human activities such as walking, running, climbing stairs, and descending stairs. The results show that the Multiclass Ensemble Gradient Boost Classifier by Estimating the Newton-Raphson Parameter succeeded in improving the performance of logistic regression in terms of accuracy by 29.11%.
Sistem Pengelolaan Referensi dengan Zotero Jeffry; Firman Aziz; Akbar Taufik; Anirwan; Nur Hamdani Nur; Syahrul Usman; Supriyadi La Wungo; Sustrin Abasa
GLOBAL ABDIMAS: Jurnal Pengabdian Masyarakat Vol. 2 No. 2 (2022): November 2022, GLOBAL ABDIMAS
Publisher : Unit Publikasi Ilmiah Perkumpulan Intelektual Madani Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51577/globalabdimas.v2i2.298

Abstract

Pelaksanaan pelatihan pengelolaan referensi dengan menggunakan Zotero bertujuan untuk memudahkan mahasiswa Program Studi Ilmu Komputer Universitas Pancasakti dalam hal keterampilan penggunaan perangkat lunak Zotero untuk pengelolaan referensi dalam penulisan karya ilmiah. Metode pelatihan dilakukan dengan beberapa tahapan yaitu riset pada Mahasiswa Program Studi Ilmu Komputer Universitas Pancasakti dalam memahami pengelolaan referensi ketika penyelesaian tugas akhir, pemberian materi dan praktik tentang penggunaan perangkat lunak Zotero. Berdasarkan hasil pretest dan posttest yang dilakukan diperoleh bahwa pelatihan ini berdampak signifikan terhadap pengetahuan mahasiswa dalam pengelolaan referensi dengan rata -rata hasil post test peserta yaitu 95.2%.
Classification of Multiclass Ensemble SVM for Human Activities based on Sensor Accelerometer and Gyroscope Supriyadi La Wungo; Mardewi Mardewi; Firman Aziz; Pertiwi Ishak; Hechmi SHILI
ILKOM Jurnal Ilmiah Vol 15, No 1 (2023)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v15i1.1270.107-117

Abstract

Human Activity Recognition is technology introduced to recognize human activities. Several technologies that have been applied are Accelerometer sensors, Gyroscope sensors, Cameras, and GPS. The selection of the Support Vector Machine algorithm is due to its capabilities to minimize errors in training data sets and the Curse of dimensionality which can estimate parameters as well as its ability to find the best hyperplane that separates two classes. The SVM algorithm was originally developed for the classification of two classes. Problem raised if there are more than two classes. In addition, the performance will not optimal for the large-scale data. Therefore, modification the current design is needed. An ensemble technique can be used to combine the Support Vector Machine algorithm with the bagging algorithm. This study proposes the application of an ensemble SVM algorithm to classify human activities based on accelerometers and gyroscope sensors on smartphones.  The total data is 13725 records with 4575 representatives of each class. From the results of the overall data partition carried out in the calcification process using the ensemble SVM algorithm, the best performance was generated when comparing datasets with 80% training data and 20% test data from a total of 13725 records because it succeeded in increasing accuracy, precision, and sensitivity.
Sistem Monitoring Status Meja Pada Restoran Berbasis Internet of Things (IOT) Mardewi Mardewi; Imran Iskandar; Sofyan Sofyan; Supriyadi La Wungo; Firman Aziz
Journal of System and Computer Engineering (JSCE) Vol 4 No 2 (2023): JSCE: Juli 2023
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v4i2.816

Abstract

The condition of a busy restaurant sometimes makes it difficult for waiters to monitor and provide satisfactory service to customers. Customers must wave when they want to call waiters but feel ignored or not seen and will feel uncomfortable with the atmosphere and calm in the dining room. An Internet of Things (IOT) based desk status monitoring system is a concept that has the ability to transfer data over a network without the need for human-to-human interaction. This study proposes a table status monitoring system in IOT-based restaurants. This tool is made so that it can be applied to large rooms and crowded visitors. A device equipped with wireless communication to send data to the server, so that it can be monitored in real time. If the button on the tool is pressed, the system will send a signal to the relay to give a call sign warning to restaurant staff/waitresses. The results of this study indicate that status information from tables requesting service from waiters will respond to these service requests and help optimize service at restaurants so that they can satisfy their customers.
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
Co-Authors Abasa, Sustrin Adriana, Andi Nur Ilmi Akbar Taufik Anirwan Anirwan Firman Aziz Hasbi Hechmi SHILI Imran Iskandar Ishak, Pertiwi Ispanti Zaman Jeffry Jeffry L.E.P, Benny Mardewi Mardewi Mardewi Mardewi Mardewi, Mardewi Marhaba, Melvi Nasruddin Nasruddin Nipsa Asdiana Supak Nur Hamdani Nur Rijal, Muhammad Rosdiana Rosdiana Sangka, Yuliana Sofyan Sofyan Sukarno Abby Sustrin Abasa Syahrul Usman Syam, Rahmat Fuady Wibowo. K, Trisno Yadda Undeng Yeti Kule