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All Journal JIPTEK : Jurnal Ilmiah Pendidikan Teknik dan Kejuruan Simetris Jurnal Ilmiah Manajemen dan Bisnis (JIMB) RESEARCH : Computer, Information System & Technology Management BERNAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Penelitian Sistem Informasi Jurnal Ilmiah Informatika dan Komputer Jurnal Ilmiah Ekonomi, Akuntansi dan Pajak Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika

JUNAIDI, MUKSAN

Sekolah Tinggi Teknologi Ronggolawe Cepu

Author-ID : 1469817

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Neuroscience Nursing Public Health Social Sciences Veterinary Other

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ANALISIS PREDIKSI KINERJA PERUSAHAAN MENGGUNAKAN RASIO PROFITABILITAS TIME SERIES DAN ALGORITMA NEURO-FUZZY Muksan Junaidi; Fuad Achmadi
Jurnal Ilmiah Pendidikan Teknik dan Kejuruan Vol 12, No 1 (2019): JIPTEK : Jurnal Ilmiah Pendidikan Teknik dan Kejuruan
Publisher : Fakultas Keguruan dan Ilmu Pendidikan Universitas Sebelas Maret Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jiptek.v12i1.30260

Kinerja perusahaan adalah hasil kegiatan manajemen menggunakan pendekatan informasi keuangan. Penilaian kinerja ini bertujuan untuk mengukur keberhasilan operasi perusahaan melalui analisis rasio yaitu dengan menghitung rasio-rasio dari neraca dan laba/rugi. Rasio profitabilitas adalah kemampuan perusahaan dalam menghasilkan laba operasi secara baik dari modal sendiri. Profitabilitas perusahaan dikatakan sehat jika dapat memberikan keuntungan bagi para pengelola dan investor. Prediksi kinerja perusahaan mengunakan rasio profitabilitas adalah untuk peringatan dini terhadap kondisi perusahaan tersebut sehat atau tertekan. Metoda pada penyelesaian masalah ini adalah memakai algoritma neuro-fuzzy. Penelitian ini bertujuan mengembangkan analisis prediksi kinerja perusahaan menggunakan rasio profitabilitas time series dan algoritma neuro-fuzzy model adaptive neuro-fuzzy inferensi system (ANFIS). Data penelitian diperoleh dari website Bursa Efek Indonesia (BEI) pada situs IDX www.idx.co.id. Populasi data antara tahun 2011-2017 dari perusahaan gabungan emiten LQ45 berjumlah 88 perusahaan. Pemrosesan data awal dengan menghitung rasio-rasio profitabilitas dari laporan keuangan neraca dan laba/rugi sebelum dimasukan secara time series ke sistem neuro-fuzzy model ANFIS. Percobaan, simulasi dan evaluasi model dalam penelitian ini menggunakan application GUI dari program Matlab. Nilai prediksi model ANFIS dibandingkan dengan perhitungan rasio-rasio profitabilitas tahun yang diprediksi. Hasil analisis akhir menunjukkan bahwa, nilai prediksi model ANFIS fungsi keanggotaan Triangle mampu memprediksi sangat optimal, konsisten, efisien, dan terbukti paling mendekati nilai rata-rata rasio profitabilitas tahun berjalan yaitu sebesar 9.95%, sedangkan untuk fungsi keanggotaan Trapesium, Gauss dan G-bell hasilnya kurang optimal.

PREDIKSI FINANCIAL DISTRESS MENGGUNAKAN MODEL NEURO FUZZY DAN RASIO ALTMAN MUKSAN JUNAIDI; Ratna Dwi Rahayu
Jurnal Ilmiah Manajemen dan Bisnis Vol 6, No 1 (2020): Jurnal Ilmiah Manajemen dan Bisnis
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jimb.v6i1.7273

Financial distress is a condition of decline in corporate finance before business failure. This failure is closely related to insolvency, where the company has failed in carrying out its operations for profit. Financial distress prediction methods have long been developed by researchers in the field of accounting and finance using Multiple Discriminant Analyst (MDA). A common method is that the Altman model is used to predict financial distress one year in the future, this is as an early warning of the company's financial condition.The purpose of this study is to develop a data mining application neuro fuzzy algorithm model using the Altman model input data ratio to predict the company's financial distress for the next few years optimally. The data used are financial statements from 45 LQ45 Issuers on the Indonesia Stock Exchange (IDX) in 2013-2017. The initial process of calculating the balance sheet and profit (loss) financial statements through the Altman model ratio to get zscore values of three categories (safe, gray and distress). The values are sorted by four backward periods as input data to the model. Functional tools from the Matlab GUI program will be used for the formation, training and testing of the neuro fuzzy structure of the ANFIS 4MFs model. Furthermore, the predicted value of the model is compared with the value of the calculation of the target Altman ratio. The final results show that the ANFIS 4MFs model can provide highly optimal predictive values close to the average target ratio value of 100% in the membership functions of Gauss, Trapezoid, and G-bell.

PENGEMBANGAN SISTEM INFORMASI APOTEK MENGGUNAKAN JAVA NETBEANS IDE DAN DB MYSQL Galuh Kumala Dewi Setioko; Muksan SAN Junaidi
SIMETRIS Vol 14 No 1 (2020): SIMETRIS
Publisher : Sekolah Tinggi Teknologi Ronggolawe Cepu

Show Abstract | Download Original | Original Source | Check in Google Scholar

Recording of drug sales and purchase transactions is a process carried out at the Lillis pharmacy. Currently the transaction process is done manually or still using books that can cause difficulty in knowing the amount of drug stock, the slow recording of transactions, the difficulty of finding expired drug data, the drug return process has difficulty in finding so many transaction notes, bad possibilities that can occur is if the memorandum is lost before the transaction data is entered into the report book, the slowness of making sales and purchasing reports. The purpose of the research is the design, development and application of the drug distribution process using a Java-based NetBeans IDE information system. The design of the information system is modeled into diagrams in UML (Unified Modeling Language) and the method of developing the System Development Life Cycle (SDLC) with the Waterfall model. The test results of the Pharmacy Information System obtained 99% of the interfaces tested properly. The research data was taken from Lillis Pharmacy in 2019. This research is expected to be able to help Lillis Pharmacy to simplify and speed up the processing of drug sales and purchase data optimally.

SISTEM KEAMANAN PELACAKAN KENDARAAN BERMOTOR MENGGUNAKAN RASPBERRY PI 3 DENGAN MODULE GPS SECARA REALTIME BERBASIS WEB Muksan SAN Junaidi
SIMETRIS Vol 14 No 2 (2020): SIMETRIS
Publisher : Sekolah Tinggi Teknologi Ronggolawe Cepu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51901/simetris.v14i2.133

Motor vehicle theft is a criminal problem that very often occurs in the community. Along with the development of technology and the level of demand for motor vehicle safety in the community that begins to increase. One of the devices that has been developed is Internet of Things (IoT) technology which is able to connect and facilitate the communication process between machines, devices and humans via the internet network. The purpose of this research is to develop a monitoring application that utilizes IoT technology as a medium for tracking the location of motorized vehicles. This research consists of 3 main system components, including the End Device System found on the Raspberry Pi device, Web Service (Back-End System) as a service for data transfer, and Front-End System user interface in the form of a website application. This system has several main features, including realtime tracking and is equipped with an activity log which can be used to determine the identity of the vehicle user. Users can access these features through the application from the website. Based on the trials conducted, this system works well on motorized vehicles, however, this system has more dependence on the internet network available in each region.

SISTEM PENGOLAHAN NILAI UNTUK KURIKULUM PAUD BERBASIS DESKTOP DENGAN MODEL WATERFALL Muksan SAN Junaidi
SIMETRIS Vol 15 No 1 (2021): SIMETRIS
Publisher : Sekolah Tinggi Teknologi Ronggolawe Cepu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51901/simetris.v15i01.156

The data processing of Al-Amin's Play Group student scores is still done manually, namely by handwriting on student assessment booksheets, this takes a long time and is not effective. The development of the number of students that increases from year to year requires accuracy in providing assessments without any mistakes and repetition of the same data. The purpose of this research is to design and make student assessment applications with object-oriented programming in the Al-Amin Play Group. Using the Waterfall model System Development Life Cycle (SDLC) method, the design based on the Unified Modeling Language (UML) and the Java Netbeans 8.2 programming language MySQL database. The research data includes student data, student attendance every semester from 2018 to 2019. The final result of the research is an object-oriented student assessment system that can be accessed through a laptop, personal computer (PC) device which is expected to help the foundation to facilitate data collection and processing of value data students and can see the progress of students in each semester at the Al-Amin Play Group in Kedewan Village. The system test results were declared feasible in terms of functionality, amounting to 97.9% in black box testing.

Model Data Mining Time Series Untuk Prediksi Profitabilitas Perusahaan Muksan Junaidi; Adhika Pramita Widyassari
RESEARCH : Journal of Computer, Information System & Technology Management Vol 3, No 1 (2020)
Publisher : UNIVERSITAS PGRI MADIUN

Profitabilitas merupakan rasio keuangan yang memperlihatkan kemampuan operasional perusahaan untuk menghasilkan laba operasi melalui modal sendiri. Untuk melihat kondisi kemampuan operasional perusahaan pada masa mendatang, bisa dilakukan dengan memprediksi nilai rasio tersebut. Teknik dalam menangani masalah prediksi ini adalah menggunakan model data mining. Penelitian ini bertujuan mengembangkan aplikasi prediksi profitabilitas keuangan perusahaan melalui model data mining neuro-fuzzy ANFIS dengan data time series. Data penelitian adalah data sekunder bersifat kuantitatif dari wibe site www.idx.co.id. Populasi data dari perusahaan emiten LQ45 di Bursa Efek Indonesia(BEI) tahun 2011-2016 berjumlah 45 perusahaan. Pemrosesan awal menghitung nilai rasio keuangan perusahaan yang akan dipakai sebagai data input pada model ANFIS. Simulasi dan evaluasi model menggunakan aplikasi GUI program Matlab. Perbandingan antara perhitungan rasio profitabilitas tahun yang di prediksi dengan nilai dari model ANFIS. Hasil akhir menunjukkan bahwa nilai model ANFIS sangat optimal, efisien, konsisten dan paling mendekati rata-rata nilai rasio tahun yang di prediksi sebesar 9.95% pada fungsi keanggotaan Segitiga. Sedang hasil prediksi tiga fungsi keanggotaan lainnya Trapesium, G-bell dan Gauss kurang optimal.

Sistem Informasi Kegiatan Kuliah Kerja Lapangan (KKL) di Sekolah Tinggi Teknologi Ronggolawe (STTR) Cepu Menggunakan Desain Unified Modeling Language (UML) Muksan SAN Junaidi
SIMETRIS Vol 16 No 1 (2022): Simetris
Publisher : Sekolah Tinggi Teknologi Ronggolawe Cepu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51901/simetris.v16i1.273

KKL is an academic activity that must be taken and taken by all Diploma and Bachelor students in groups or individually. At the STTR Cepu campus, the process of submitting KKL to the assessment is still done manually, so it takes quite a long time to search for student data, missing data and inconsistent KKL activity data. The purpose of this research is to design and develop an Information System for Online KKL Activities at the STTR Cepu campus. Using the waterfall model system development life cycle (SDLC) development method, design based on Unified Modeling Language (UML) and PHP programming language with MySQL database. The research data includes student MPA data for the last 3 years 2015-2018. The results of this study are the application of an KKL activity information system that helps make it easier for students in the process of registering activities, submitting activities and proposing guidance processes and reports on the results of KKL activities as well as being more time efficient and faster..

Rancang Bangun Mesin Pencacah Rumput Bagi Peternak Sapi Di Kecamatan Jiken Kabupaten Blora Korawan Agus; Sarjono Sarjono; Ali Achmadi; Ratna Dwi Rahayu; M. Slamet Riyadi; Mudjijanto Mudjijanto; Bambang Supranoto; Drajat Indah Mawarni; Muksan Junaidi; Rosadila Febritasari
BERNAS: Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 2 (2023)
Publisher : Universitas Majalengka

Mesin pencacah rumput adalah mesin yang digunakan untuk memotong-motong rumput menjadi kecil-kecil, rumput yang di cacah biasanya adalah rumput berbatang besar dan panjang. Pembuatan mesin diawali dengan gambar desain, terdiri dari kerangka, saringan, mesin penggerak, transmisi sabuk-V, bantalan, poros, pisau pencacah, dan tutup. Proses pembuatan dilakukan per bagian, dilanjutkan dengan proses perakitan menjadi mesin, proses selanjutnya adalah uji coba dan penyempurnaan. Serah terima dilakukan di lokasi mitra, yaitu peternak sapi, hasilnya sudah memenuhi seperti yang diinginkan.

System Monitoring Calibration Oil and Gas Equipment at the Cepu Oil and Gas PPSDM Instrumentation Workshop Using Java Netbeans Muksan Junaidi; Nurul Saidah
JIIFKOM (Jurnal Ilmiah Informatika dan Komputer) Vol 1 No 2 (2022): July
Publisher : Jurusan Informatika STTR Cepu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51901/jiifkom.v1i2.238

Information on calibration reports of oil and gas equipment at the Instrumentation Workshop at the Cepu Oil and Gas Human Resources Development Center (PPSDM Migas) is still not real time, and the filing of reports is still manual in a special cabinet. Often constrained in the process of searching for documents, and confusing information on repair status and recalibration schedule. The purpose of this study was to develop a Calibration Monitoring System for Oil and Gas Equipment at the Instrumentation Workshop at PPSDM Migas Cepu, to facilitate monitoring of the calibration process, search for data, reduce paper usage, and update information on equipment repair status. Research data from calibration reports in 2017 were 113 and in 2018 there were 79 reports. Using UML (Unified Modeling Language) modeling and Java Netbeans programming language. The results of the research are a monitoring system for equipment calibration at the Instrumentation workshop, and it has been tested functionally with blackbox testing, 97% successful in accordance with its function.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jb.v4i2.4888

Co-Authors Achmad Noerkhaerin Putra Adhika Pramita Widyassari Ali Achmadi Ari Puji Prasetiyo Bambang Supranoto Dhevi Dadi Kusumaningtyas Drajat Indah Mawarni Eka Satria Wibawa Eka Satria Wibawa, Eka Satria Fuad Achmadi Galuh Kumala Dewi Setioko Gunawan, Helmi Joko Handoyo Khalif Rifky Noor Nugroho Korawan, Agus Dwi M. Slamet Riyadi Mudjijanto Mudjijanto Nurul Saidah Ratna Dwi Rahayu Ratna Dwi Rahayu Ristiyanto, Hartono Guntur Rosadila Febritasari S, M. Ramdhan Sarjono Sarjono Sutarto, Eko Valentika, Mia Nanda

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