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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Journal of Industrial Engineering Management JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Manajemen Informatika dan Sistem Informasi JISA (Jurnal Informatika dan Sains) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Community Development Journal: Jurnal Pengabdian Masyarakat Bulletin of Computer Science Research JURNAL ILMIAH GLOBAL EDUCATION Decode: Jurnal Pendidikan Teknologi Informasi sudo Jurnal Teknik Informatika Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Innovative: Journal Of Social Science Research J-ENSITEC (Journal of Engineering and Sustainable Technology) Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Pekayunan
Wafiah Murniati
STMIK Lombok
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Public Health Other

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Penggunaan Metode Prototype dalam Pengembangan Aplikasi Monitoring dan Evaluasi Terhadap Renja SKPD Kab Lombok Tengah Fahmi, Hairul; Murniati, Wafiah
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 1 (2022): Januari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i1.3444

Abstract

The process of monitoring and evaluation in a government agency, especially Badan Perencanaan Pembangunan Daerah (BAPPEDA) of Lombok Tengah Regency is one of the most important things to do. The process of monitoring the implementation of work is carried out to obtain facts, data, and information in the process of achieving goals. Bappeda Lombok Tengah in the process of implementing monitoring and evaluation still uses the conventional system by collecting SKPD files on a quarterly basis which causes the process to be inefficient. Therefore the application is very necessary. The purpose of this research is to produce an application to facilitate the monitoring and evaluation of the current year's RENJA. The system design/development method used is the prototyping method. The implementation of the prototype method is carried out in 3 (three) stages, the first stage is listening to system users related to system requirements, the second stage is making prototype interfaces and the third is testing the prototype interface that has been proposed by the user. In this study, the system will be tested with usability testing in the form of a questionnaire. The test consists of 3 assessments, namely system quality, information quality and service quality. to get feedback from users. Results of System Testing using a questionnaire method involving 10 respondents reached 87% which indicates that the RENJA Information system is very suitable for use by users. With this application, Bapeda can monitor the Work Plan of each SKPD and can provide an assessment of the realization of DPA-SKPD quickly, precisely and efficiently.
IDENTIFICATION AND RISK ASSESSMENT OF KETAK HANDICRAFT SMEs IN THE MIDDLE OF THE COVID-19 PANDEMIC Wafiah Murniati; Hairul Fahmi
Journal of Industrial Engineering Management Vol 7, No 1 (2022): Journal of Industrial Engineering and Management Vol 7 No 1
Publisher : Center for Study and Journal Management FTI UMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33536/jiem.v7i1.1045

Abstract

Uncertainty in conditions driven by external factors from the threat of the virus that has an impact on restrictions on human movement by the government affects business and economic conditions in Indonesia, including Small and Medium Enterprises (SMEs) in handicrafts. The business processes carried out by SMEs are inseparable from the risks they face. Risk management is the right strategy in tackling risks that occur throughout the business process. The purpose of this study was to identify and conduct an assessment of the risks faced by SMEs in Central Lombok during the Covid-19 Pandemic. The method used to analyze risk factors is the checklish method and the Analytical Hierarchy Process (AHP). All risks that SMEs may face have been identified, classified and ranked according to risk exposure. The results showed that there were 4 risk factors and 11 risk subfactors identified. The most critical risk comes from financial risk. There was a decrease in income during Covid-19, a decrease in the level of consumer purchasing power, and limited capital. Limited human resource capabilities if marketing online and the difficulty of obtaining raw materials are also critical risks faced by SME actors during the Covid-19 Pandemic
PENGUKURAN KINERJA SUPPLY CHAIN PADA INDUSTRI UKM KERAJINAN (Studi Kasus: Industri Kerajinan Ketak Lombok Tengah, Nusa Tenggara Barat, Indonesia) Wafiah Murniati; Wahyu Ismail Kurnia; Sela Handayani; Suar Ishak
Journal of Industrial Engineering Management Vol 4, No 1 (2019): Journal of Industrial Engineering Management Vol. 4 No. 1
Publisher : Center for Study and Journal Management FTI UMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (227.04 KB) | DOI: 10.33536/jiem.v4i1.262

Abstract

Jurnal yang berjudul "pengukuran kinerja supply chain pada industri UKM kerajinan (studi kasus: industri kerajinan ketak lombok tengah, nusa tenggara barat, indonesia) bertujuan untuk mengetahui sampai sejauh mana kinerja supply chain pada industri kerajinan ketak yang merupakan salah satu industri kreatif yang memanfaatkan kearifan lokal agar mampu mencapai keunggulan kompetitif dikanca nasional maupun secara global.pada jurnal ini menggunakan metode SCOR dan AHP dalam penyelesaian penelitian. dari hasil yang diperoleh, nilai indikator Perfect Order Fulfilment sebesar 83,40% dengan besar persentase gap sebesar 17,60% dari nilai target yaitu 100%.  Indikator yang paling mempengaruhi adalah adanya pesanan yang terkirim tidak sesuai jumlah pesanan, adanya pesanan yang terlamabat diterima oeh pelanggan, terdapatnya produk rusak yang diterima oleh pelanggan dan adanya pengembalian produk akibat produk tersebut rusak dan cacat.
PENERAPAN KNNIMPUTER DALAM MENGOLAH DATA MISSING VALUE UNTUK MEMBANTU MENINGKATKAN AKURASI SUPPORT VECTOR MACHINE KLASIFIKASI PENYAKIT TIROID Supardianto; Lalu Mutawalli; Wafiah Murniati
Jurnal Informatika Teknologi dan Sains Vol 4 No 4 (2022): EDISI 14
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (463.007 KB) | DOI: 10.51401/jinteks.v4i4.2077

Abstract

Thyroid is a condition of abnormalities in a person due to thyroid disorders. Based on data from the ministry of health in the world, the prevalence of thyroid is still relatively high, if five million babies are born each year, then there are one thousand six hundred babies with hyperthyroidism. The algorithm used for data processing and modeled into knowledge is a support vector machine (SVM), SVM is used for classification. After exploring the datasets of the 23 attributes contained in the datasets, there are 9 attributes that have missing values, including age 4 lines, sex 307 lines, TSH 804 lines, T3 2604 lines, TT4 442 lines, T4U 809 lines, FTI 802 lines, TBG 8823 lines, and target 1626 lines. Based on the evaluation results on the model that has been tested for precision 94%, recall 100%, F1-score 97% with an accumulated accuracy of 93%. The overall total evaluation on the model is 93%.
e-SCM Internet Service Provider (ISP) PT. Rinjani Citra Solusi Hairul Fahmi; Wafiah Murniati
REMIK: Riset dan E-Jurnal Manajemen Informatika Komputer Vol. 7 No. 1 (2023): Volume 7 Nomor 1 Januari 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/remik.v7i1.12066

Abstract

PT Rinjani Citra Solusi merupakan perusahaan yang bergerak di bidang jasa khususnya Penyedia Jasa Internet (PJI) atau Internet service provider (ISP). Perusahaan ini memberikan layanan koneksi internet yang sesuai dengan kebutuhan pelanggan. Dalam proses penyedia jasa internet interaksi antara perusahaan dan mitra mempunyai intensitas yang tinggi. Aktivitas tersebut antara lain pengecekan modem, pengecekan kabel fiber, monitoring kapasitas bandwidth dan sebagainya. Namun, dalam operasional selama ini data dan informasi belum terdokumentasi dengan baik. Solusi yang dapat diambil dari permasalahan tersebut yaitu dengan membuat aplikasi Supply Chain Manajemen (e-SCM). Metode pengembangan sistem menggunakan pendekatan Waterfall yang dilakukan secara sistimatis dan berurutan. Pengujian kualitas sistem menggunakan metode WebQual 4.0 yang terdiri dari 3 aspek, yaitu aspek usability, aspek information quality, dan aspek interaction quality. Penelitian ini akan menghasilkan Sistem e-SCM yang membantu perusahaan mendapatkan aliran informasi yang tepat dan akurat untuk kelancaran pasokan untuk para mitra, karena perusahaan dan mitra telah terintegrasi oleh Sistem e-SCM yang dibangun. Aplikasi e-SCM mendukung perusahaan untuk menciptakan nilai lebih bagi pelanggan dan memiliki tujuan untuk memenuhi kebutuhan klien dengan cara terbaik dan real time. Hasil pengujian terhadap aplikasi e-SCM menunjukkan X1 (Usability) memiliki nilai sebesar 92% yang artinya Kualitas pengguna Sangat Baik, X2 (Information Quality) dengan nilai sebesar 89% dengan nilai Sangat Baik, dan X3 (Interaction Quality) dengan nilai sebesar 83% dan menunjukkan bahwa kualitas layanan pada aplikasi e-SCM termasuk Sangat Baik
EVALUASI USABILITY SISENSI MOBILE MENGGUNAKAN METODE ISO/IEC 9126 DAN NIELSEN MODEL Ayu Lestari; Wafiah Murniati; Saikin; Hasyim Asyari
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 6 No 2 (2024): EDISI 20
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v6i2.4123

Abstract

The Mobile Attendance and Presence Information System (SISENSI) is an online attendance application that has problems or shortcomings, such as requiring a long time to be absent and lacking a leave permit feature so that users have difficulty applying for leave permission. Therefore, the aim of this research is to test the SISENSI mobile application to determine the quality and shortcomings of the application. The usability evaluation methods that will be used are ISO/IEC 9126 and Nielsen Model. The results of combining ISO/IEC 9126 and the Nielsen Model obtained eight SISENSI Mobile testing factors in the usability field, namely understandability, learnability, operability, attractiveness, memorability, efficiency, errors, and user satisfactions. Respondents in this study were 164 people. The results of this research obtained values for each sub-characteristic namely: understandability 84%, learnability 80%, operability 80%, attractiveness 69%, efficiency 82%, memorability 67%, errors 75% and user satisfactions 65%. Meanwhile, the average value is 75%, so overall SISENSI Mobile is in good condition.
PENERAPAN METODE SINGLE EXPONENTIAL SMOOTHING DALAM PENGEMBANGAN APLIKASI PREDIKSI JUMLAH SISWA BARU: Indonesia nurfitriani, Nurfitriani; Murniati, Wafiah; Ashari, Maulana Ashari; Fadli, Sofiansyah Fadli
J-ENSITEC (Journal of Engineering and Sustainable Technology) Vol. 8 No. 02 (2022): June 2022
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jensitec.v8i02.2058

Abstract

The vocational Forecasting process is an important thing for the Forecasting process to determine new students to obtain data and information on the number of prospective new students who will register. Darussalam Islamic Vocational School does not yet have a Forecasting application so predicting the number of students is still conventional which causes school to be unable to plan for future needs. Therefore the Forecasting applications are needed. The purpose of this study is to produce an application to make it easier for schools to predict the number of new students in the future. This research method uses the Single Exponential Smoothing method, while the development method uses the Waterfall. method. In this study, Testing. will be carried out using a Black-Box involving users, namely the principal and of school study program. The test consists of 4 aspects of Testing, namely the login process, the import process, the process of adding data, the process of Forecasting the number of new students. With the Forecasting application. the number of new students that have been MAD can predict the number of students who will register in the following year based on previous data.
APLIKASI PENILAIAN KINERJA DOSEN MENGGUNAKAN METODE ADDITIVE RATIO ASSESSMENT ( ARAS ): Indonesia khairunnisa, Baiq; Murniati, Wafiah; Hamdi, Saeful; Fadli, Sofiansyah
J-ENSITEC (Journal of Engineering and Sustainable Technology) Vol. 8 No. 02 (2022): June 2022
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jensitec.v8i02.2059

Abstract

STMIK Lombok is one of the Private Universities that regularly conduct assessments of lecturers every semester. This is done in order to motivate lecturers in improving service to students. Although in its implementation, the performance assessment of this lecturer runs smoothly but has not reached optimal because it still uses Microsoft Excel in the calculation process so it takes a long time in the process of calculating values and reporting process. so it still needs improvements, especially in the assessment process using the application. This research aims to build an assessment information system and evaluate the performance of STMIK Lombok lecturers. The ARAS (Additive Ratio Assessment) method is one of the multicryteria decision-making methods based on the concept of combat using a utility degree, namely by comparing the overall index value of each alternatife to the optimal alternative overall index value. This decision support system can provide selected alternative decisions that can later be used as a reference to determine the best Lecturer Performance. The system development method used is Waterfall, PHP as a programming language and uses data flow diagram (DFD) system modeling. The testing process used in this application is the Black Box. The results of this built Application can speed up the process of calculating the performance assessment of lecturers and the reporting process more effectively and efficiently.
Forecasting Blood Demand Using the Support Vektor Regression Method (Case Study: Blood Transfusion Unit-PMI Central Lombok) Apriati, Yati; Murniati, Wafiah; Saikin, Saikin; Fadli, Sofiansyah; Fahmi, Hairul
JISA(Jurnal Informatika dan Sains) Vol 6, No 2 (2023): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v6i2.1780

Abstract

Blood is an important component produced by the human body. Blood is also a very vital part of human survival. When blood levels in the human body are less than they should be, the way to overcome this is by donating blood or blood transfusion. The health facilities that organize blood donations, provide blood and distribute blood are called Blood Transfusion Units (UTD). UTD in carrying out its duties encountered several obstacles, such as blood only having a shelf life of 35 days from donation. If it has passed the expiration date, it cannot be used anymore for blood transfusions. Meanwhile, regarding the demand for blood, the need for blood is greater than those donating. Making it difficult for UTD if the demand occurs when the existing blood stock is not sufficient. And if the stock in UTD experiences an axcess, it can cause losses because the blood is wasted due to expiration. Apart form that. The problem is that in everyday life, many people’s need for blood is reduced. Many of their families intervened directly to find available donors. They even search on social networks or social media such as WhatsApp, Facebook, Instagram and others. And this shows that many of them lack donors. To anticipate these problems. So it is necessary to carry out research on forecasting blood demand using the Support Vektor Regression method at UTD PMI Central Lombok. The aim of this research is to forecast or predict the demand for blood at UTD PMI Central Lombok in the coming period. To reduce the impact of lack or excess blood. SVR is the application of Support Vektor Machine (SVM) in the case of regression to find the best dividing line in the regression function. The advantage of the SVR model is that it can handle overfiting problems in the data. The tests used to measure the best model are Mean Squared Error (MSE), Root Mean Squared Error (RMSE), Mean Absolute Percentage Error (MAPE) and Coefficient of Determination (R2). The results of this research shows that the best model is Support Vektor Regression (SVR) with a polynomial kernel and based on the tuning results, the parameters used are C=10, degree=1, epsilon=1. The SVR model using a polynomial kernel produces a MAPE value of 18.7502% and RMSE value of 0.6919, which means the model has very good predictive ability. Prediction accuracy was achieved with an R2 value of 0.9936 or 99.36% and an MSE value of 0.4787, which means that the prediction of blood demand data at UTD PMI Central Lombok using SVR with a polynomial kernel function had very good prediction accuracy. With predicted result in january for blood type A it was 1654, B was 920, O was 2205 and AB was 1104
Komparasi Metode WASPAS dan SAW Dalam Evaluasi Kinerja Guru Di Pondok Pesantren Darul Kamilin Pratiwi, Baiq Evi; Fadli, Sofiansyah; Murniati, Wafiah; Sudyana, Didik
Decode: Jurnal Pendidikan Teknologi Informasi Vol. 4 No. 2: JULI 2024
Publisher : Program Studi Pendidikan Teknologi Infromasi UMK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51454/decode.v4i2.447

Abstract

Penelitian ini membandingkan dua metode yaitu Weighted Aggregated Sum Product Assessment (WASPAS) dan Simple Additive Weighting (SAW) dalam mengevaluasi kinerja guru. Penelitian ini membahas  sistem pendukung keputusan untuk evaluasi kinerja guru di pondok pesantren darul kamilin, di mana guru memainkan peran penting dalam pendidikan siswa. Selain membahas tinjauan literatur yang relevan dengan metode yang digunakan, penelitian ini juga menentukan tingkat efektifitas kedua metode tersebut dalam evaluasi kinerja guru. Hasil penelitian ini memberikan pemahaman yang lebih menyeluruh terkait dengan pemilihan metode evaluasi paling efektif antara WASPAS dan SAW untuk kinerja guru. Evaluasi hasil dari kedua menunjukkan perbedaan pada bagian hasil untuk alternatif A5, A9, A11, A13, dan A14 antara kedua metode yang digunakan. Pada penelitian ini terdapat alternatif dengan nilai tertinggi berada pada alternatif A5(0.986) dan alternatif terendah berada pada alternatif A11(0.841).
Co-Authors ahmad tarmuzi ojik Andikasari, Bq Devi Apriati, Yati Ashari, Maulana Ashari Ayu Lestari Azizah, Rizthy Shavna Azomah, Meitia Ba'diatul Baiq Dea Zualina Didik Sudyana Fadli, Sofiansyah Fadli, Sofiansyah Fadli Fahmi, Hairul Firda Widia Haerani, Kiki Hairul Fahmi Hairul Fahmi Hasyim Asyari Jihadul Akbar Khairul Imtihan khairunnisa, Baiq Lailatussuhadaq Lalu Mutawalli Mardi Mardi Maulana Ashari Mohammad Taufan Asri Zaen Muhammad Fauzi Zulkarnaen Musofa, Aolia Nurfitriani Nurfitriani, Nurfitriani ojik, ahmad tarmuzi Pirmansyah Pirmansyah Pratiwi, Baiq Evi Rika Nurhaliza Rizthy Shavna Azizah Saeful Hamdi Saikin Saikin Sela Handayani Sofiansyah Fadli Srihati, Ania Suar Ishak Supardianto Wahyu Ismail Kurnia Yasmin Rosana