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Pemodelan Faktor-Faktor yang Memengaruhi Status Balita Stunting di Provinsi Jawa Timur Menggunakan Regresi Probit Biner Clara Dewanti; Vita Ratnasari; Agnes Tuti Rumiati
Jurnal Sains dan Seni ITS Vol 8, No 2 (2019)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM), ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (43.081 KB) | DOI: 10.12962/j23373520.v8i2.48519

Abstract

Stunting adalah suatu kondisi dimana pertumbuhan anak tidak maksimal yang disebabkan oleh kekurangan gizi sejak dalam kandungan. Dampak yang ditimbulkan stunting dalam jangka panjang adalah menurunnya kemampuan kognitif dan kecerdasan seseorang sehingga dapat menurunkan kualitas sumber daya manusia. Bank Dunia merilis riset yang menyatakan bahwa stunting merugikan Produk Domestik Negara sebanyak 3-11%. Pada tahun 2018, sebanyak 30,8% balita di Indonesia mengalami stunting. Angka ini berada di atas batas wajar yang ditetapkan WHO yakni 20%. Berdasarkan hasil Riskesdas 2018, Jawa Timur merupakan salah satu provinsi yang memiliki prevalensi stunting di atas rata-rata nasional. Tujuan dari penelitian ini adalah mendeskripsikan karakteristik balita stunting di Jawa Timur serta memodelkan faktor-faktor yang memengaruhi stunting pada balita, serta membandingkan hasil klasifikasi data aktual dan hasil pemodelan menggunakan regresi probit biner. Data yang digunakan adalah data sekunder dari Indonesian Family Life Survey 2015 dengan variabel respon berupa status gizi balita stunting yang dibagi dalam dua kategori yaitu balita dengan status gizi pendek dan sangat pendek. Variabel prediktor yang digunakan adalah BBLR, tinggi badan ibu, tingkat pendidikan ibu, pemberian ASI eksklusif, konsumsi pil penambah darah, jumlah anggota rumah tangga, dan status ekonomi rumah tangga. Jumlah data yang terkumpul sebanyak 146 balita dengan komposisi 102 balita pendek dan 44 balita sangat pendek. Variabel yang berpengaruh signifikan dengan nilai alfa sebesar 0,05 adalah tingkat pendidikan ibu dan pemberian ASI tidak eksklusif. Ketepatan klasifikasi yang dihasilkan oleh model sebesar 67,81%.
Pemodelan Faktor-Faktor yang Memengaruhi Ketahanan Pangan di Indonesia Menurut Kabupaten dan Kota Menggunakan Regresi Probit Ordinal Retno Dewi Yulianti; Vita Ratnasari
Jurnal Sains dan Seni ITS Vol 9, No 2 (2020)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM), ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23373520.v9i2.55484

Abstract

Ketahanan pangan merupakan salah satu topik kompleks yang selalu dibahas di Indonesia dari waktu ke waktu. Berdasarkan UU No.18 tahun 2012 disebutkan bahwa ketahanan pangan ialah kondisi terpenuhinya pangan bagi negara sampai dengan perseorangan, yang tercermin dari tersedianya pangan yang cukup guna keberlangsungan hidup manusia yang sehat, aktif dan produktif. Pada Peta Ketahanan dan Kerentanan Pangan (Food Security and Vulnerability Atlas - FSVA) Indonesia tahun 2018, diketahui bahwa 83% Kabupaten/Kota di Indonesia merupakan daerah tahan pangan, yaitu daerah yang berada pada prioritas 4, 5 dan 6. Pada penelitian ini dilakukan pemodelan menggunakan metode regresi probit ordinal untuk menjelaskan hubungan antara variabel respon berupa variabel kategorik berskala ordinal dengan variabel prediktor kontinu. Pemodelan prioritas ketahanan pangan pada wilayah tingkat kabupaten dan tingkat kota dilakukan secara terpisah karena karakteristik dari keduanya berbeda. Berdasarkan hasil pemodelan prioritas ketahanan pangan pada kabupaten di Indonesia, variabel prediktor yang berpengaruh signifikan terhadap variabel respon berupa prioritas ketahanan pangan adalah angka harapan hidup (X1), persentase penduduk miskin (X2), persentase rumah tangga tanpa akses air bersih (X3), persentase rumah tangga tanpa akses listrik (X4), rata-rata lama sekolah perempuan di atas 15 tahun (X5), persentase balita pendek/stunting (X6) dan rasio konsumsi normatif terhadap ketersediaan bersih serelia (X7) dengan ketepatan klasifikasi sebesar 88,94%. Sedangkan model terbaik untuk pemodelan prioritas ketahanan pangan pada kota di Indonesia, variabel prediktor yang berpengaruh signifikan ialah X1, X2, X3, X5 dan X6 dengan ketepatan klasifikasi sebesar 88,78%.
Pemodelan Regresi Logistik dan Probit Biner pada Faktor yang Memengaruhi Ketercapaian Target Unmet Need di Provinsi Jawa Barat Ida Nur Indah Sari; Vita Ratnasari
Jurnal Sains dan Seni ITS Vol 9, No 2 (2020)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM), ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23373520.v9i2.57952

Abstract

Unmet need KB adalah wanita kawin yang ingin menunda kehamilan, menjarangkan kehamilan dan tidak ingin mempunyai anak lagi namun tidak memakai alat/cara KB. Unmet need KB selalu memiliki target setiap tahunnya, namun berdasarkan fakta di lapangan target unmet need KB yang ditetapkan tidak pernah tercapai dan berakibat pada meningkatnya jumlah penduduk. Adanya permasalahan tidak tercapainya target unmet need tersebut maka diperlukan suatu analisis guna mengetahui faktor yang memengaruhi status ketercapaian target unmet need di Jawa Barat. Analisis yang memungkinkan digunakan untuk mengetahui faktor tercapai atau tidaknya target unmet need yaitu metode regresi logistik biner dan metode regresi probit biner. Variabel respon yang digunakan pada penelitian status ketercapaian target unmet need di Provinsi Jawa Barat yaitu tercapai atau tidaknya target unmet need Jawa Barat tahun 2019 sesuai dengan Renstra BKKBN 2015-2019 yaitu sebesar 10,15% serta menggunakan 5 varibael prediktor yang diduga berpengaruh terhadap status ketercapaian target unmet need. Berdasarkan hasil analisis diperoleh kesimpulan terdapat 3 variabel yang terbukti berpengaruh secara signifikan terhadap kedua pemodelan dengan kebaikan model sebesar 89%.
Klasterisasi Mutu Pendidikan SMA di Indonesia dan Analisis Pola Hubungan Antar Standar Nasional Pendidikan pada Masing-Masing Klaster Menggunakan SEM-PLS Arif Khoirul Anam; Agnes Tuti Rumiati; Vita Ratnasari
Jurnal Sains dan Seni ITS Vol 9, No 2 (2020)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM), ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23373520.v9i2.58212

Abstract

Mutu pendidikan yang baik akan mampu meningkatkan kualitas sumber daya manusia yang ada. Pada penelitian ini akan dilakukan pengelompokan mutu pendidikan jenjang SMA di Indonesia menggunakan metode Fuzzy C-Means dan dilanjutkan dengan analisis pola hubungan antar standar nasional pendidikan menggunakan metode Strustural Equation Modelling – Partial Least Square. Hasil klaster terbaik membagi mutu pendidikan menjadi empat kelompok. Sebagian besar Sekolah Menengah Atas di Indonesia sudah tergolong cukup baik dan perbandingan status sekolah negeri dan swasta pada masing-masing klaster tidak begitu signifikan. Mutu pendidikan di Indonesia terbilang belum merata karena masih ada beberapa provinsi yang memiliki proporsi sekolah cukup banyak pada klaster terendah. Pada analisis SEM terdapat beberapa pola hubungan yang tidak signifikan pada masing-masing klaster. Adanya pola hubungan yang tidak signifikan bukan berarti tidak bagus, namun kemungkinan tanpa adanya pengaruh dari variabel lain, variabel tersebut sudah baik.
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI TINGKAT PARTISIPASI MASYARAKAT DALAM PELAKSANAAN PROYEK P2MPD DI KABUPATEN TUBAN Farid Achmadi; R Sutjipto; Vita Ratnasari
Jurnal Teknobisnis Vol 1, No 1 (2005): Jurnal TEKNOBISNIS
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat- Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2268.117 KB) | DOI: 10.12962/j24609463.v1i1.2414

Abstract

Multi-dimensional crisis at the end 1997 has brought a very strong impact to social and economic aspects of community, resulting in fast increase in the number of unemployment and poor people as well as social structure damage that hamper development pace of the Republic of Indonesia. The aforesaid condition has made us aware of the importance of having economy which is based on community as the power. The community empowerment program is required as the follow-up action against the above mentioned impact.Implementation of a program called “P2MPD” (Regional Government Administration and Community Empowerment Project) in Regency of Tuban has indicated critical points due to the differences of interest, so as to decrease the level of participation of the community. It is for this reason that this research was carried out with the intention to find out variables and factors affecting level of community’s participation as well as the factors that need to be improved in implementing the P2MPD program in Regency of TubanFrom the output analysis, it was found that the most dominant factor influencing level of participation of community in executing the P2MPD project in Regency of Tuban are democracy, transparency, security and the conducive social condition of community and the factors that require high improvement efforts are the competitors and facility factors
STUDI PENGARUH PEMAHAMAN PRODUK PADA PENGAMBILAN KEPUTUSAN MENGGUNAKAN TELKOM FLEXI (Studi Kasus: PT TELKOM Kandatel Surabaya Barat) Winarni Kurniasari; Haryono Haryono; Vita Ratnasari
Jurnal Teknobisnis Vol 1, No 2 (2005): Jurnal TEKNOBISNIS
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat- Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1122.072 KB) | DOI: 10.12962/j24609463.v1i2.2822

Abstract

In order to choose the right TELKOM Flexi product, prospecting customers need a guide for a better understanding of the products. Therefore, it is important for the company to measure how far the understanding level of the prospecting customers relates to the decision making in product selection. The decision level may give significant influence to marketing strategy of TELKOM Flexi. In analysis of confirmatory, indicators which were used to form unobserved variables comprised: Product Category Knowledge (PCK), Perceived Ease ofUse (PEU), Perceived Usefulness (PU) and Decision Confidence (DC). These indicators were significant, as shown by probability value of statistic smaller than 10%. Each indicator can be assumed to form unidimensionalities to each unobserved variables. Result of examination pursuant to criterion Goodness of Fit Indices of by using Structural Equation Modelling. Results of questioner's data processing showed that PCK had a direct influence of significance to PEU, PEU have influence of significant to PU, and PU had an influence of significance to DC. As a conclusion, the customers decided to buy Flexi because of the Perceived Ease of Use and Perceived Usefulness. Therefore, PT TELKOM Kandatel of West Surabaya should base the marketing strateu on these two factors. 
Behavior of Trip Length Distribution Pattern due to the Variation of Trip Length Interval Determination Hitapriya Suprayitno; Vita Ratnasari; Nina Saraswati
IPTEK The Journal of Engineering Vol 4, No 1 (2018)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23378557.v4i1.a3561

Abstract

Transport Model is always needed and important for developing Transportation System Master Plan. Trip Distribution is one of the important parts of Transport Model, which is a result mathematical operation of trip generation and deterrence function. Trip Length Distribution Pattern is the foundation of Deterrence Function. The trip length distribution pattern can change due to the various trip length interval used. Analog to this, the Deterrence Function can also change. The research result indicate that the distribution pattern change significantly on trip length interval 1 to 3 km. For trip length interval of 4 to 8 km, the trip length distribution indicate the general characteristic of trip length distribution, i.e. the number of trips is high in short distance and getting down in the longer trip distance. The trip interval of 7 km gives the most accepted Tanner Deterrence Function.
Application of Confidence Intervals for Parameters of Nonparametric Spline Truncated Regression on Index Development Gender in East Java Rifani Nur Sindy Setiawan; I Nyoman Budiantara; Vita Ratnasari
IPTEK Journal of Science Vol 2, No 3 (2017)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (295.906 KB) | DOI: 10.12962/j23378530.v2i3.a3206

Abstract

The Gender Development Index (GDI) is an index that measures the achievement of human basic capability development for the health, education and economic sectors within a region by considering equality between men and women. In this research GDI with the factors that are suspected to affect it will be modeled using nonparametric spline truncated regression, because the results of scatterplot pattern of GDI with some predictor variables not to follow a certain pattern. Determination of predictor variables that significantly influence GDI by using confidence interval obtained high school enrollment rate of female population, morbidity of female population, percentage of last aid of birth by medical, and female labor-force participation rate have significantly influenced to GDI in East Java.
Analysis The Effect of Bidding Process on Project Performance in PT Pelabuhan Indonesia III (Persero) Gita Prestalita; I Putu Artama Wiguna; Vita Ratnasari
IPTEK Journal of Proceedings Series No 1 (2020): The 1st International Conference on Business and Engineering Management (IConBEM)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23546026.y2020i1.7988

Abstract

Based on investment data in PT Pelabuhan Indonesia III (Persero) with asset code road and construction, also port facility construction in PT Pelabuhan Indonesia III (Persero) 2017 – 2018, there are 65 projects of physical construction. In the bidding process, to assess competence and business ability, also other requirements from the provider with stages of administration evaluation, technical evaluation and bid price from contractor. In 65 investment projects there are 18 projects fined. This research took 65 samples. While secondary data was collected from document of eligible awards of bidding on investment project in 2017–2018 in PT Pelabuhan Indonesia III (Persero) with asset code road and construction, also port facility. Analysis used was Structural Equation Modeling (SEM). The result of this research conclude that bidding process significantly affects to project performance variable
Visitors Needs Analysis in Mall XYZ with Text Mining Analysis Faurizal Limansyah; Mokh. Suef; Vita Ratnasari
IPTEK Journal of Proceedings Series No 1 (2020): The 1st International Conference on Business and Engineering Management (IConBEM)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23546026.y2020i1.11321

Abstract

Mall is a shopping center consisting of the main tenants (anchors), retail, shops, services, and public facilities that are built, managed, and arranged by the manager with the aim of conducting interaction between visitors and sellers. In 2018 Surabaya City had 33 malls or 50.77% of the total number of malls in East Java, this shows that the mall population in Surabaya City is very high. Mall XYZ is one of the malls that stood in the city of Surabaya and has been operating for one year. This mall still has not shown a development that is not optimal because of the many complaints from tenants to building management related to the sale of products that do not reach the target, as a result tenants often violate the rules (house rules) that have been set by managers to break the cooperation contract between building management and tenants unilaterally . To find out the cause of these conditions, text mining methods are used to filter reviews from visitors filtered from the Mall XYZ Google page. of the existing reviews classification will be based on reviews that contain positive and negative sentiment. review with positive sentiment becomes an appreciation that must be maintained and improved while a review containing negative sentiment becomes a complaint that must be addressed by the building management as the mall manager.
Co-Authors A. Tuti Rumiati Achmad Choiruddin Adatul Mukarohmah Agnes Tuti Rumiati Agus Riyadi Almira Qattrunnada Qurratu'ain Ananda, Dwi Shinta Andrea Tri Rian Dani Anita Susanti Arif Khoirul Anam AVIANTHOLIB, IGAR CALVERIA Bachtiar, Raditya Fahmi Baredwan, Abdullah Husin Bastian, Endhy Bastian, Endhy Cinde Pristi Kurnia Merdiko Citto Pacama Fajrinia Clara Dewanti Dani, Andrea Tri Rian Deby Lolita Permatasari Dedy Dwi Prastyo Dwi Maumere Putra Eko Wahyu Wibowo Elika Tantri Eling Anindita, Raden Erma Oktania Permatasari Fachrian Bimantoro Putra Farid Achmadi Farony, Rivan Faurizal Limansyah Fauziyah, Meirinda Febriliani Masitoh Feni Ira Puspita, Feni Ira Fithriasari, Kartika Fitriana, Dewi Fuad Achmadi Gita Prestalita Halistin, Halistin Haryono Haryono Hesikumalasari Hesikumalasari Hitapriya Suprayitno, Hitapriya Husna Miratin Nuroini I Nyoman Budiantara I Putu Artama Wiguna Ida Nur Indah Sari Insan Amalia Mutfi Ismaini Zain Karimah, Aprilia Fitri Khaerun Nisa' Ludia Ni’matuzzahroh Made Ayu Dwi Octavanny Madu Ratna Mahendra Wardhana, Mahendra Marshiela, Jessie Reyna Maulidiah Nitivijaya Mokh. Suef Muhammad Aldani Zen NARITA YURI ADRIANINGSIH Ni'matuzzahroh, Ludia Nina Saraswati Nina Saraswati Nisa Andini Novidianto, Raditya Nuroini, Husna Mir'atin Okka Kusumawati Asmoyo Permatasari, Erma Oktania Purhadi Purhadi Putra, Fachrian Bimantoro Qonita Qurrota A'yun R Sutjipto Reny Nadlifatin Retno Dewi Yulianti Rhifda Zukhrufi Ria Asih Aryani Soemitro Rifani Nur Sindy Setiawan Rijaludin, Saeful Huda Rizfanni Cahya Putri Rizky Amalia Yulianti Santi Puteri Rahayu Setiawan Setiawan Shofi Andari Sifriyani, Sifriyani Sitti Imaslihkah Suci Amalia Talmera, Annisa Triana Tandri Patih Taufiqotul Masrukha Tesha Nisva Tiza Ayu Virania Veniola Forestryani Vida Faiza Rochmah Wahyu Indri Astuti Wibawati Wibawati Winarni Kurniasari Yashintia Arien Epriliyanti Yollafie Asmara Yovita Liana Salsabila Yuanita Damayanti Zen, Muhammad Aldani